Skip to main content
Global Journal of Health Science logoLink to Global Journal of Health Science
. 2013 Apr 6;5(4):71–78. doi: 10.5539/gjhs.v5n4p71

Self-Perceived Health among School Going Adolescents in Pakistan: Influence of Individual, Parental and Life Style Factors?

Asad Ali Khan Afridi 1,, Komal Motwani 2, Saleem Khawaja 2, Adeel A Khoja 2, Zafar Fatmi 1, Iqbal Azam 1, Muhammad Masood Kadir 1
PMCID: PMC4776812  PMID: 23777723

Abstract

Background:

Adolescents are at substantial risk of acquiring behaviors which might influence their health status. This study was aimed to assess the proportion of school going adolescents (both males and females) with poor self-perceived health and its associated factors.

Methodology:

A cross-sectional study was conducted in three major cities of Pakistan i.e. Karachi, Lahore and Quetta. From each city, six (6) secondary schools were randomly selected (3 public and 3 private). Pre-tested, self-administered questionnaire was distributed to students. Binary logistic regression analysis was conducted to determine independent factors associated with poor self-perceived health.

Results:

Approximately 29% adolescents (119/414) reported poor self-perceived health. Individual and parental factors significantly associated with poor self-perceived health were being male (AOR = 1.75, 95% CI: 1.09 – 2.79), living in extended family (AOR = 2.65, 95% CI: 1.66 – 4.22), unskilled employment of father (AOR = 2.17, 95% CI: 1.35 – 3.48), lack of parental-child communication (AOR = 1.74, 95% CI: 1.03 – 2.91) and unfair treatment by parents (AOR = 1.80, 95% CI: 1.09 – 2.96). Life style factors such as use of smokeless tobacco (AOR = 2.14, 95% CI: 1.26 – 3.96) and unhealthy diet (AOR = 3.60, 95% CI: 1.76 – 7.33) were associated with poor self-perceived health.

Conclusion:

Better employment opportunities for father, parental counseling and increase awareness for adolescents about healthy diet are recommended to improve adolescent self-perceived health in Pakistan.

Keywords: adolescents, self-perceived health, life style, Pakistan

1. Introduction

There are diverse viewpoints on definition of health comprising of medical, behavioral and socio-environmental perspective. A combination of these constitutes the overlapping models of health (Labonte & Laverack, 2008; Laverack, 2004). World Health Organization declares health as a multidimensional construct unfolded into objective as well as subjective well-being (World Health Organisation. Constitution. Geneva: World Health Organisation, 1946). Consequently, health have been measured on several different dimensions including self-perceived health (Sadana, 2002). Self-perceived health is a reliable and valid indicator for general health and many morbidities and mortality in adults (Barros, Zanchetta, Moura, & Malta, 2009; Idler & Benyamini, 1997). Although widely used among adults, only few studies have been conducted in South Asian population and adolescents using self-perceived scale (Ahmad, Jafar, & Chaturvedi, 2005). Self-perceived scale is also shown to be reliable in adolescents population (Heard, Gorman, & Kapinus, 2008).

Adolescents population is apparently free of disease (Breidablik, Meland, & Lydersen, 2009; Erginoz et al., 2004; Piko, 2000). Nonetheless, they are considered vulnerable for poor self-perceived health as it is a transition period to adulthood (Sawyer et al., 2012). Early adolescence is particularly more vulnerable to poor self-perceived health (Breidablik et al., 2009) as the frequency of subjective health complains upsurges during this period (Haugland, Wold, Stevenson, Aaroe, & Woynarowska, 2001). During this phase health perceptions are also being shaped by continuous changes in bodily, biological, socio-behavioral and mental perspectives (Fatusi & Hindin, 2010; Nollen et al., 2006; Viner et al., 2012). Furthermore, behaviors acquired by adolescents tend to remain with them throughout their life and may result in important health consequences. Approximately 33% of the disease burden and 60% of premature deaths among adults are said to have their roots in adolescent period (Breidablik, Meland, & Lydersen, 2008; Elizabeth Lule, 2006).

Adolescents makes up 22% of the total population of Pakistan (Statistics, 2000-2004). It has fourth largest adolescent population (41 million) in the world, only preceded by United States, China and India (Anthony, 2011). Among adolescent in Pakistan 16% of females are currently married and 33% percent of males and 28% females are enrolled in secondary schools. Early marital age of female adolescents and resulting early pregnancies may result in high infant and maternal mortality.

Unfortunately, there is lack of information on adolescents’ self-perceived health in Pakistan. One previous study conducted among general population in Pakistan also reported self-perceived health among adolescents. This study also lacked information on important parental and lifestyle characteristics of adolescents (Ahmad et al., 2005). Poor health during this critical phase of adolescence may deprive the individual from educational, career and skill building activities that are essential to lead a healthy and economically productive life. The understanding of the variables that shape adolescents’ health perception is essential as it determines the future health scenario in Pakistan. Therefore, our study aimed to assess the proportion of adolescents with poor self-perceived health in schools of three major cities of Pakistan and its association with individual, parental and life style factors.

2. Material and Methods

A cross-sectional survey was carried out among 09th and 10th grade students in three capital cities of Pakistan. Four-hundred and thirty-two students were approached in six public and private schools; one each from Karachi, Quetta and Lahore. Amongst students who participated, five were absent on the day of survey and thirteen refused to participate. Thus, we enrolled 414 students which yield response rate of 95%.

Participants were asked to assess their general health with the single-item question ‘In general, are you satisfied with your health?’ This question has been validated in different cultural set-ups (Goodwin & Engstrom, 2002; Subramanian, Subramanyam, Selvaraj, & Kawachi, 2009; Tremblay, Dahinten, & Kohen, 2003). Though recorded on 4 point Likert scale, response options were merged as ‘yes, or no’. For this study, following terms were defined as: 1) Unhealthy dietary intake: < 7 servings of fruits and/or vegetable in last 7 days. 2) Physical inactivity: < 30 minutes of moderate to vigorous activity for less than 4 days in last 7 days. 3) Passive smoking: at least 30 minutes of exposure to second hand smoke most days of the week (at least 5) either at home, public places and/or at school for at least last six months. 4) Current smoking: any number of cigarettes currently smoked either regularly or occasionally. 5) Use of betel nut: any amount of betel nut chewed in last 7 days. 6) Use of smokeless tobacco (SLT): any amount of SLT (oral tobacco, snuff) used in last 7 days. Parents’ education level and occupational groups were also asked. Fathers who were working as professionals, administrators, bankers and teachers were labeled as ‘white collar job’ while those who were working in other categories like: sellers, laborers, and manual workers were labeled as ‘blue collar job’. As very low proportions of mothers were in any occupation, we classified them either in ‘employed’ or ‘house wife’ categories. Family set up was defined as: 1) Nuclear family: family group consisting of only parents and their children and 2) Extended family: family group that includes grandparents, uncles, aunts and cousin besides parents and children. In addition, students were also asked two questions about their parents’ attitude towards them, which may affect students’ self-perception of health: 1) Do you think, your parents communicates well with you and understand your worries and problems? And 2) Do you think, your parents treat you fairly? Both questions were subjective and participants answered in ‘yes’ or ‘no’ categories.

The data was analyzed using Statistical Package for Social Sciences (SPSS) version 19 (SPSS 19.0; SPSS Inc., Chicago, IL, USA). We calculated frequencies and proportions for baseline characteristics of study participants along with parental and lifestyle factors. To determine the difference in risk factors, for poor self-perceived health, by parental and lifestyle factors; chi-square test and odds ratio along with their 95% confidence interval were calculated using binary logistic regression. All those variables that yield p-values of <0.25 at univariate analysis were included in final multivariable logistic regression analysis

2.1 Ethical Considerations

The study protocol was approved by the Research Committee of the department of Family Medicine, Aga Khan University, Karachi. Approval was given by the schools’ administration; acceptance from study participants and written informed consent from their parents was taken before start of the study. Pre-tested in a similar area and population group; a structured, self-administered questionnaire was distributed to participants in their classrooms and they were requested to complete it. Before conducting interviews, all study participants and schools were assured about the confidentiality and anonymity and efforts were made to ensure the privacy of the information.

3. Results

A total of 414 adolescents were interviewed. The prevalence of poor self-perceived health was 29% (95% C.I.: 24.4, 33.3). The age of the participants ranged between 14 to 17 years with mean age of 14.36 (SD ±1.08) years. More than 70% (297/414) were enrolled in government (matriculate) education system and almost two third (266/414) adolescents lived in a nuclear family set up. Fathers’ of majority of the adolescents (54%) had completed education up to higher secondary school or above whereas only 41% of the mothers had similar level of schooling. About half of the adolescents’ fathers had white collar jobs while huge majority of the mothers (80%) were housewives. Nearly one-third (32%) of the adolescents perceived that their parents had no understanding with them and more than one third (38%) also reported that their parents did not treat them fairly (Table 1).

Table 1.

Univariate and multivariable analysis for sociodemographic and parental factors associated with poor self-perceived health among adolescents in Pakistan (n=414)

Characteristics All n (%) Poor Self perceived health n (%) p-value1 Crude Odds Ratio (95% CI) Adjusted Odds Ratio (95% CI)
Sex 0.032
 Females 191 (46.1) 45 (23.6) 1.0 1.0
 Males 223 (53.9) 72 (32.2) 1.61 (1.04-2.49) 1.99 (1.19 – 3.32)
Type of schooling 0.694
 O- level 117 (28.3) 32 (27.4) 1.0 1.0
 Matric 297 (71.7) 87 (29.3) 1.10 (0.68–1.77) 1.23 (0.69 – 2.16)
Family < 0.001
 Nuclear 266 (64.3) 55 (20.7) 1.0 1.0
 Extended 148 (35.7) 64 (43.2) 2.92 (1.88 – 4.54) 2.63 (1.63 – 4.23)
Fathers’ education 0.423
 ≥ 13 years 225 (54.3) 61 (27.1) 1.0 1.0
 <13 years 189 (45.7) 58 (30.7) 1.19 (0.77 – 1.82) 1.05 (0.59 – 1.86)
Mothers’ education 0.068
 ≥ 13 years 168 (40.6) 40 (23.8) 1.0 1.0
 < 13 years 246 (59.4) 79 (32.1) 1.51 (0.97 – 2.36) 0.67 (0.37 – 1.21)
Fathers’ occupation < 0.001
 White collar job 210 (50.7) 43 (20.5) 1.0 1.0
 Blue collar job 204 (49.3) 76 (37.3) 2.30 (1.48 – 3.57) 2.08 (1.23 – 3.50)
Mothers’ occupation 0.021
 Employed 82 (19.8) 15 (18.3) 1.0 1.0
 House-wife 332 (80.2) 104 (31.3) 2.03 (1.11 – 3.73) 1.73 (1.07 – 2.79)
Parental understanding 0.020
 Yes 282 (68.1) 71 (25.2) 1.0 1.69 (1.08 – 2.65) 1.0 1.87 (1.08 – 3.22)
 No 132 (31.9) 48 (36.4) 1.69 (1.08 – 2.65) 1.87 (1.08 – 3.22)
Parents fairness with adolescent  0.012
 Yes 255 (61.6) 62 (24.3) 1.0 1.0
 No 159 (38.4) 57 (35.8) 1.74 (1.12 – 2.68) 1.76 ( 1.07 – 2.91)

p-value1: of chi-squared test

In univariate analysis, sex (p-value = 0.032), type of family (p-value = <0.001), fathers’ occupation (p-value = <0.001), mothers’ occupation (p-value = 0.021), mothers’ education (p-value = 0.068), understanding by parents (p-value = 0.020) and unfair treatment by parents (p-value = 0.012) were found to be significantly associated with poor self-perceived health (Table 1). No significant association was observed for type of schooling (p-value = 0.694), and parents’ education (fathers’ education p-value = 0.423; mothers’ education p-value = 0.068).

In multivariable analysis, odds of having poor self-perceived health were higher among those adolescents who: were males (AOR = 1.99, 95% CI: 1.19 – 3.32), living in extended family (AOR = 2.63, 95% CI: 1.63 – 4.23), whose fathers had unskilled employment (AOR = 2.08, 95% CI: 1.23 – 3.50) and mothers were house wives (AOR = 1.73, 95% CI: 1.07 – 2.79), who reported absence of parental understanding (AOR = 1.87, 95% CI: 1.08 – 3.22) and had unfair treatment by parents (AOR = 1.76, 95% CI: 1.07 – 2.91) were also more likely to perceive poor self-health (Table 1).

The life style characteristics and their association with poor self-perceived health are presented in Table 2. Around a quarter of adolescents reported use of smokeless tobacco, a huge proportion (> 80%) use unhealthy diet, more than one third used betel nuts. Although only about 15% reported active smoking, a greater proportion (>55%) reported passive smoking and approximately 55% reported lack of physical activity in last seven days.

Table 2.

Univariate and multivariable analysis for life style factors associated with poor self-perceived health among study participants (n=414)

Characteristics All n (%) Poor Self perceived health n (%) p-value1 Crude Odds Ratio (95% CI) Adjusted Odds Ratio (95% CI)
Use smokeless tobacco < 0.001
 No 313 (75.6) 76 (24.3) 1.0 1.0
 Yes 101 (24.4) 43 (42.6) 2.31 (1.44 – 3.70) 1.0 2.16 (1.26 – 3.67)
Use healthy diet 0.001
 Yes 80 (19.3) 10 (12.5) 1.0 1.0
 No 334 (80.7) 109 (32.6) 3.39 (1.68 – 6.83) 3.85 (1.86 – 7.97)
Betel nuts 0.025
 No 261 (63.0) 65 (24.9) 1.0 1.0
 Yes 153 (37.0) 54 (35.4) 1.64 (1.06 – 2.53) 1.14 (0.66 – 1.97)
Current smoking 0.211
 No 355 (85.7) 98 (27.6) 1.0 1.0
 Yes 59 (14.3) 21 (35.6) 1.44 (0.81 – 2.59) 1.55 (0.82 – 2.93)
Passive smoking 0.315
 Yes 231 (55.8) 71 (30.7) 1.0 1.0
 No 183 (44.2) 48 (26.2) 1.24 (0.81 – 1.92) 1.15 (0.72 – 1.86)
Physical activity 0.246
 ≥ 3 days 189 (45.7) 49 (25.9) 1.0 1.0
 0 – 2 days 225 (54.3) 70 (31.1) 1.29 (0.83 – 1.98) 1.23(0.78 – 1.95)

p-value1: of chi-squared test

In univariate analysis, use of smokeless tobacco (p-value = <0.001), unhealthy diet (p-value = 0.001) and betel nuts (p-value = 0.025) were found to be significantly associated with poor self-perceived health (Table 2). No significant association was observed for current smoking (p-value = 0.211), passive smoking (p-value = 0.315) and physical activity (p-value = 0.246).

In multivariable analysis, however, odds of having poor self-perceived health were higher among those adolescents who used smokeless tobacco (AOR = 2.16, 95% CI: 1.26 – 3.67) and who did not use healthy diet (AOR = 3.85, 95% CI: 1.86 – 7.97) (Table 2).

4. Discussion

Our study suggests that poor self-perception of health is more prevalent among males than females and this finding corroborates with previous studies (Jovic-Vranes, Jankovic, Vasic, & Jankovic, 2011; Kestila et al., 2006). Sociodemographic factors such as living in extended family, unskilled employment of fathers, mothers who are housewives, poor parenting (lack of communication) and unfair treatment by parents were found out to be associated factors for poor self-perception. Furthermore, life style factors such as smokeless tobacco usage and unhealthy diet among adolescents are also associated factors with poor self-perceived health. This study identifies the elements that negatively influences one's perception of health, however majority of them are modifiable and may have important public health consequences.

Generally studies report a higher proportion of girls with poor self-perceived health (Piko, 2007; Sweeting & West, 2003). Although this is in contrast to our study findings, it is consistent with finding from study conducted in Serbia (Jovic-Vranes et al., 2011; Kestila et al., 2006; Sweeting & West, 2003). Different studies have reported availability of strong social support to adolescent girls, by elderly female members of their family (Denton & Walters, 1999; Sunder, Ramos, Short, & Rosenthal, 2006) as a major mediating factor for this gender difference in self-perceived health. Also girls commonly enter puberty at younger age (Toppari & Juul, 2010), mature earlier than males (Rogol, Clark, & Roemmich, 2000) and explanation of physiological changes that occur during adolescence, like menstrual cycles (Lee, Chen, Lee, & Kaur, 2006) by elderly females may result in better understanding of their health. Hence, they may be less likely to perceive poor health. This shift in health perceptions may have important economic consequences as males are the primary bread winners in developing countries.

Role of parents and family in upbringing of adolescents cannot be overestimated (Alderfer et al., 2008). It was reported that adolescents who had poor communication with their parents and had unfair treatment from them has poor perception of their health (Richter, Moor, & van Lenthe, 2011; Vilhjalmsson, 1994; Vingilis, Wade, & Adlaf, 1998). Parental economic status and children social well-being has been explored as a mediating factor in a study by Mistry et al. (2002). This is consistent with our study findings, and perhaps indicates the void between perception of care between parents and adolescents. Most likely explanation could be lack of quality time given by parents working in blue collar jobs, to their children, as they are more likely to work long hours and stay away from their children. Conversely, parents in white collar job are likely to spend more quality time with their children.

Different studies have identified family structure as an important factor affecting self-perceived health of adolescents. Generally, adolescents living in families where more social support was present has better self-perceived health (Heard et al., 2008). However, we found that adolescents living in extended family perceive their health poorer as compared to those who live in a nuclear family. It could be due to resource sharing by multiple persons in an extended family system. This may result in a decrease in purchasing power of people on one hand and thinning out of remaining resources on the other hand, limiting them from spending on health related issues.

Furthermore extended family setup may facilitate in acquiring communicable diseases because of overcrowding (Link & Phelan, 1995) which might be translated in to poor health perception.

Adolescents who were living with their parents’ only (nuclear family) might be spending more quality time with them as compared to those who live in an extended family set up; various studies consistently reported that adolescents who are close to their parents had fewer psychological and physical symptoms (Avison & McAlpine, 1992; Heard et al., 2008; Vingilis et al., 1998). On contrary; poor parent-adolescent relationship has been reported as predictor of poor self- perception of health among adolescents (Erginoz et al., 2004; Richter et al., 2011).

Our study results suggest that adolescents whose fathers work in unskilled jobs or mothers are house-wives are more likely to perceive their health as poor. This is in line with findings from other studies (Call et al., 2003; Richter et al., 2011; Sleskova et al., 2006; E. R. Vingilis, Wade, & Seeley, 2002). Employment status is one of the determinants for better socio-economic status of the household (Sleskova et al., 2006). Fathers’ employment in particular may act as a proxy for household income which is very well known to influence health status(E. Vingilis et al., 1998).

The relationship between unhealthy diet and poor self-perceived health has been explored in many studies (Barros et al., 2009; Paulik, Boka, Kertesz, Balogh, & Nagymajtenyi, 2010; Richter et al., 2011) and our results are in agreement with their findings. A study conducted by US Centers for Disease Control and Prevention (CDC), found that less than one quarter of adolescents eat enough fruits and vegetables (Centers for Disease Control and Prevention (CDC). Key strategies for schools to prevent obesity). Results of a Karachi based study also reflects a similar status (Khuwaja, Fatmi, Soomro, & Khuwaja, 2003). This situation warrants the shift from unhealthy diet towards healthier one, by promoting the use of fruits and vegetables.

Use of tobacco in smoked as well as smokeless forms has been documented as a predictor of poor self-perceived health in adults (Ahmad et al., 2005; E. Vingilis et al., 1998). A recent study reported that more than half of adults in Karachi use smokeless tobacco and most of them started it before 15 years of age (N. S. Ali, Khuwaja, T. Ali, & Hameed, 2009). Our study results also found that about one-quarter of adolescents used smokeless tobacco. A little caveat here is not to ignore those adolescents who have unhealthy life styles but perceive their health to be good. Health education, behavior change and rehabilitation services are required to be focused on these individuals as well. These results need immediate attention of policy makers, parents and school administrators for preventing and curbing the ongoing menace which has the potential to jeopardize adolescents’ health.

Findings from this study cannot be generalized and should be interpreted with caution. Selection of schools from major cities limits us to comment on perceptions of adolescents from rural areas. Also, questions on parental understanding and fair treatment had subjective element which may affect objectivity of responses. Self-perceived health could fluctuate substantially depending on how the individual is feeling that day, this could also introduce subjectivity in their responses. Mental health of adolescents was also not looked into; this could be a mediating factor i.e. those adolescents who are depressed have negative self-perceived health and negative views of their relationships with their parents. However, it is one of the few studies addressing adolescents’ self-perceived health from a developing country like Pakistan; which included schools both from public and private sector to get a wider representation of population.

5. Conclusion

In conclusion, this study highlights that a substantial proportion of our adolescents perceive their health as poor, which can potentially affect their health and wellbeing in future. Focusing attention on health promoting behaviors like use of fruits and vegetables and increase physical activity along with emphasis on strengthening relationship with parents may result in a positive perception of their health by adolescents. In this regard, school-based counseling and mass media campaigns may play a pivotal role.

Acknowledgements

The authors express their appreciation to Dr Ali Khan Khuwaja (late), who provided guidance for analysis and contributing in its review at different stages. Acknowledgements are also due to various colleagues for their valuable comments.

References

  1. Ahmad K, Jafar T. H., Chaturvedi N. Self-rated health in Pakistan: results of a national health survey. BMC Public Health. 2005;5:51. doi: 10.1186/1471-2458-5-51. http://dx.doi.org/10.1186/1471-2458-5-51 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alderfer M. A., Fiese B. H., Gold J. I., Cutuli J. J., Holmbeck G. N., Goldbeck L, Patterson J. Evidence-based assessment in pediatric psychology: family measures. JPediatr Psychol. 2008;33(9):1046–1061. doi: 10.1093/jpepsy/jsm083. http://dx.doi.org/10.1093/jpepsy/jsm083 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Ali N. S., Khuwaja A. K., Ali T, Hameed R. Smokeless tobacco use among adult patients who visited family practice clinics in Karachi, Pakistan. JOral Pathol Med. 2009;38(5):416–421. doi: 10.1111/j.1600-0714.2009.00754.x. http://dx.doi.org/10.1111/j.1600-0714.2009.00754.x . [DOI] [PubMed] [Google Scholar]
  4. Anthony D. The state of the world's children 2011 - adolescence: an age of opportunity. New York: United Nations Pubns; 2011. UNICEF. [Google Scholar]
  5. Avison W. R., McAlpine D. D. Gender differences in symptoms of depression among adolescents. JHealth Soc Behav. 1992;33(2):77–96. http://dx.doi.org/10.2307/2137248 . [PubMed] [Google Scholar]
  6. Barros M. B. A, Zanchetta L. M., Moura E. C., Malta D. C. Self-rated health and associated factors, Brazil, 2006. Revista de Saúde Pública. 2009;43:27–37. doi: 10.1590/s0034-89102009000900005. http://dx.doi.org/10.1590/S0034-89102009000900005 . [DOI] [PubMed] [Google Scholar]
  7. Breidablik H. J., Meland E, Lydersen S. Self-rated health in adolescence: a multifactorial composite. Scand JPublic Health. 2008;36(1):12–20. doi: 10.1177/1403494807085306. http://dx.doi.org/10.1177/1403494807085306 . [DOI] [PubMed] [Google Scholar]
  8. Breidablik H. J., Meland E, Lydersen S. Self-rated health during adolescence: stability and predictors of change (Young-HUNT study, Norway) Eur JPublic Health. 2009;19(1):73–78. doi: 10.1093/eurpub/ckn111. http://dx.doi.org/10.1093/eurpub/ckn111 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Call K. T., Riedel A. A., Hein K, McLoyd V, Petersen A, Kipke M. Adolescent health and wellbeing in the twenty-first century: a global perspective. Journal of Research on Adolescence. 2003;12(1):69–98. http://dx.doi.org/10.1111/1532-7795.00025 . [Google Scholar]
  10. Centers for Disease Control and Prevention (CDC) Key strategies for schools to prevent obesity. 2012. Retrieved October 5, 2012, from http://www.cdc.gov/Features/ChildhoodObesity .
  11. Denton M, Walters V. Gender differences in structural and behavioral determinants of health: an analysis of the social production of health. Soc Sci Med. 1999;48(9):1221–1235. doi: 10.1016/s0277-9536(98)00421-3. http://dx.doi.org/10.1016/S0277-9536(98)00421-3 . [DOI] [PubMed] [Google Scholar]
  12. Elizabeth Lule J. E. R, Singh S, Knowles J. C., Behrman J. R. Adolescent Health Programs. In: Dean J. G. B., Jamison T., Anthony Measham R., George Alleyne, Mariam Claeson, David B. Evans, Prabhat Jha, Anne Mills, Philip Musgrove, editors. Disease Control Priorities in Developing Countries. 2nd ed. New York NY 10016: The World Bank and Oxford University Press; 2006. p. 1109. [Google Scholar]
  13. Erginoz E, Alikasifoglu M, Ercan O, Uysal O, Ercan G, Albayrak Kaymak D, Ilter O. Perceived health status in a Turkish adolescent sample: risk and protective factors. Eur JPediatr. 2004;163(8):485–494. doi: 10.1007/s00431-004-1446-5. http://dx.doi.org/10.1007/s00431-004-1446-5 . [DOI] [PubMed] [Google Scholar]
  14. Fatusi A. O., Hindin M. J. Adolescents and youth in developing countries: Health and development issues in context. JAdolesc. 2010;33(4):499–508. doi: 10.1016/j.adolescence.2010.05.019. http://dx.doi.org/10.1016/j.adolescence.2010.05.019 . [DOI] [PubMed] [Google Scholar]
  15. Goodwin R, Engstrom G. Personality and the perception of health in the general population. Psychol Med. 2002;32(2):325–332. doi: 10.1017/s0033291701005104. http://dx.doi.org/10.1017/S0033291701005104 . [DOI] [PubMed] [Google Scholar]
  16. Haugland S, Wold B, Stevenson J. I. M, Aaroe L. E., Woynarowska B. Subjective health complaints in adolescence A cross-national comparison of prevalence and dimensionality. The European Journal of Public Health. 2001;11(1):4–10. doi: 10.1093/eurpub/11.1.4. http://dx.doi.org/10.1093/eurpub/11.1.4 . [DOI] [PubMed] [Google Scholar]
  17. Heard H. E., Gorman B. K., Kapinus C. A. Family structure and self-rated health in adolescence and young adulthood. Population Research and Policy Review. 2008;27(6):773–797. http://dx.doi.org/10.1007/s11113-008-9090-9 . [Google Scholar]
  18. Idler E. L., Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. Journal of health and social behavior. 1997. pp. 21–37. http://dx.doi.org/10.2307/2955359 . [PubMed]
  19. Jovic-Vranes A, Jankovic J, Vasic V, Jankovic S. Self-perceived health and psychological well-being among Serbian schoolchildren and adolescents: data from National Health Survey. Central European Journal of Medicine. 2011:1–7. [Google Scholar]
  20. Kestila L, Koskinen S, Martelin T, Rahkonen O, Pensola T, Aro H, Aromaa1 A. Determinants of health in early adulthood: what is the role of parental education, childhood adversities and own education? Eur JPublic Health. 2006;16(3):306–315. doi: 10.1093/eurpub/cki164. http://dx.doi.org/10.1093/eurpub/cki164 . [DOI] [PubMed] [Google Scholar]
  21. Khuwaja A. K., Fatmi Z, Soomro W. B., Khuwaja N. K. Risk factors for cardiovascular disease in school children--a pilot study. JPak Med Assoc. 2003;53(9):396–400. [PubMed] [Google Scholar]
  22. Labonte R. N., Laverack G. Health promotion in action: from local to global empowerment: Palgrave Macmillan. 2008 [Google Scholar]
  23. Laverack G. Health promotion practice: power and empowerment. Sage Publications Limited; 2004. [Google Scholar]
  24. Lee L. K., Chen P. C. Y, Lee K. K, Kaur J. Menstruation among adolescent girls in Malaysia: a cross-sectional school survey. Singapore medical journal. 2006;47(10):869. [PubMed] [Google Scholar]
  25. Link B. G., Phelan J. Social conditions as fundamental causes of disease. JHealth Soc Behav, Spec No. 1995. pp. 80–94. http://dx.doi.org/10.2307/2626958 . [PubMed]
  26. Mistry R. S., Vandewater E. A., Huston A. C., McLoyd V. C. Economic well-being and children's social adjustment: the role of family process in an ethnically diverse low-income sample. Child Dev. 2002;73(3):935–951. doi: 10.1111/1467-8624.00448. http://dx.doi.org/10.1111/1467-↰.00448 . [DOI] [PubMed] [Google Scholar]
  27. Nollen N, Kaur H, Pulvers K, Choi W, Fitzgibbon M, Li C, Ahluwalia J. S. Correlates of ideal body size among black and white adolescents. Journal of youth and adolescence. 2006;35(2):276–284. http://dx.doi.org/10.1007/s10964-005-9024-3 . [Google Scholar]
  28. Paulik E, Boka F, Kertesz A, Balogh S, Nagymajtenyi L. Determinants of health-promoting lifestyle behaviour in the rural areas of Hungary. Health Promot Int. 2010;25(3):277–288. doi: 10.1093/heapro/daq025. http://dx.doi.org/10.1093/heapro/daq025 . [DOI] [PubMed] [Google Scholar]
  29. Piko B. Health-related predictors of self-perceived health in a student population: the importance of physical activity. JCommunity Health. 2000;25(2):125–137. doi: 10.1023/a:1005129707550. http://dx.doi.org/10.1023/A: 1005129707550 . [DOI] [PubMed] [Google Scholar]
  30. Piko B. F. Self-perceived health among adolescents: the role of gender and psychosocial factors. Eur JPediatr. 2007;166(7):701–708. doi: 10.1007/s00431-006-0311-0. http://dx.doi.org/10.1007/s00431-006-0311-0 . [DOI] [PubMed] [Google Scholar]
  31. Richter M, Moor I, van Lenthe F. J. Explaining socioeconomic differences in adolescent self-rated health: the contribution of material, psychosocial and behavioural factors. JEpidemiol Community Health. 2011;66(8):691–7. doi: 10.1136/jech.2010.125500. http://dx.doi.org/10.1136/jech.2010.125500 . [DOI] [PubMed] [Google Scholar]
  32. Rogol A. D., Clark P. A., Roemmich J. N. Growth and pubertal development in children and adolescents: effects of diet and physical activity. The American journal of clinical nutrition. 2000;72(2):521s–528s. doi: 10.1093/ajcn/72.2.521S. [DOI] [PubMed] [Google Scholar]
  33. Sadana RM C, Lopez A. D., Murray C. J. L, Iburg K. M. In Comparative analyses of more than 50 household surveys on health status. In: Murray C. J. L., Salomon J. A., Mathers C. D., Lopez A. D., editors. In Summary Measures of Population Health: Concepts, Ethics, Measurement and Applications. Geneva: WHO; 2002. pp. 369–386. [Google Scholar]
  34. Sawyer S. M., Afifi R. A., Bearinger L. H., Blakemore S. J., Dick B, Ezeh A. C., Patton G. C. Adolescence: a foundation for future health. Lancet. 2012;379(9826):1630–1640. doi: 10.1016/S0140-6736(12)60072-5. http://dx.doi.org/10.1016/S0140-6736(12)60072-5 . [DOI] [PubMed] [Google Scholar]
  35. Sleskova M, Salonna F, Geckova A. M., Nagyova I, Stewart R. E., van Dijk J. P., Groothoff J. W. Does parental unemployment affect adolescents’ health? J Adolesc Health. 2006;38(5):527–535. doi: 10.1016/j.jadohealth.2005.03.021. http://dx.doi.org/10.1016/j.jadohealth.2005.03.021 . [DOI] [PubMed] [Google Scholar]
  36. Statistics. UNICEF (Publication); 2000-2004. Retrieved 2nd September 2011: from http://www.unicef.org/infobycountry/pakistan_pakistan_statistics.html . [Google Scholar]
  37. Subramanian S. V., Subramanyam M. A., Selvaraj S, Kawachi I. Are self-reports of health and morbidities in developing countries misleading?Evidence from India. Soc Sci Med. 2009;68(2):260–265. doi: 10.1016/j.socscimed.2008.10.017. http://dx.doi.org/10.1016/j.socscimed.2008.10.017 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Sunder P. K., Ramos S, Short M. B., Rosenthal S. L. Adolescent girls’ communication with “mothers” about topical microbicides. JPediatr Adolesc Gynecol. 2006;19(6):373–379. doi: 10.1016/j.jpag.2006.09.007. http://dx.doi.org/10.1016/j.jpag.2006.09.007 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Sweeting H, West P. Sex differences in health at ages 11, 13 and 15. Social Science and Medicine. 2003;56(1):31–39. doi: 10.1016/s0277-9536(02)00010-2. http://dx.doi.org/10.1016/S0277-9536(02)00010-2 . [DOI] [PubMed] [Google Scholar]
  40. Toppari J, Juul A. Trends in puberty timing in humans and environmental modifiers. Mol Cell Endocrinol. 2010;324(1-2):39–44. doi: 10.1016/j.mce.2010.03.011. http://dx.doi.org/10.1016/j.mce.2010.03.011 . [DOI] [PubMed] [Google Scholar]
  41. Tremblay S, Dahinten S, Kohen D. Factors related to adolescents'self-perceived health. Health Rep. 2003;14(Suppl):7–16. [PubMed] [Google Scholar]
  42. Vilhjalmsson R. Effects of social support on self-assessed health in adolescence. Journal of youth and adolescence. 1994;23(4):437–452. http://dx.doi.org/10.1007/BF01538038 . [Google Scholar]
  43. Viner R. M., Ozer E. M., Denny S, Marmot M, Resnick M, Fatusi A, Currie C. Adolescence and the social determinants of health. Lancet. 2012;379(9826):1641–1652. doi: 10.1016/S0140-6736(12)60149-4. http://dx.doi.org/10.1016/S0140-6736(12)60149-4 . [DOI] [PubMed] [Google Scholar]
  44. Vingilis E, Wade T. J., Adlaf E. What factors predict student self-rated physical health? J Adolesc. 1998;21(1):83–97. doi: 10.1006/jado.1997.0131. http://dx.doi.org/10.1006/jado.1997.0131 . [DOI] [PubMed] [Google Scholar]
  45. Vingilis E. R., Wade T. J., Seeley J. S. Predictors of adolescent self-rated health. Analysis of the National Population Health Survey. Can JPublic Health. 2002;93(3):193–197. doi: 10.1007/BF03404999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. World Health Organization. Constitution. Geneva: World Health Organization; 1946. [Google Scholar]

Articles from Global Journal of Health Science are provided here courtesy of Canadian Center of Science and Education

RESOURCES