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Chapter-1: Introduction

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The average energy intake of rural adolescent girls in Bangladesh is 81% of the Recommended Dietary Allowance (RDA) for age. Low-income families tend to either buy cheap, less nutritious foods, which affects the nutritional needs of vulnerable groups such as adolescents where nutrients are high to support their growth and physiological development. Two-thirds (64%) of girls were aware of the need to obtain additional nutrients during adolescence to thrive.

A large majority of adolescent girls in India suffer from reproductive health disorders (Agrawal et al., 2007; Sharma et al., 2008). The girls were measured against a wall, without wearing shoes and with their heels together, and their heads were positioned so that their eyes looked straight ahead (Frankfurt plane) so that the line of sight was parallel to the body, and the wooden scale was head lowered on top. Weight measurement: A battery operated digital scale was used to record the weight of the girls.

They were asked if they were aware of the importance of taking extra nutrients during adolescence and using iron supplements to assess their nutritional knowledge and intake. Baseline category logit model is the most popular way of modeling data when the set of answer categories is unordered (Agresti, 2002). It provides simultaneous representations of the probabilities of being in one category versus another (baseline category).

Socio-demographic and other characteristics of adolescent girls in Chattogram area, Cox's Bazar and Rohingya camp (n=360).

Table 2: Socio-economic characteristics of adolescent girls
Table 2: Socio-economic characteristics of adolescent girls

Disease prevalence of adolescent girls within last two weeks

Disease Chattogram (en, %) Cox's Bazar (n, %) Rohingya camp (in, %) Below Normal About Below Normal About Below Normal About Cold &.

Premenstrual syndrome occurrence

Types of food intake in last 24 hours’ recall

The highest meal intake (52%) was three times a day followed by 36% of participants taking meals at least 4 times a day. 16 According to the area, the custom of skipping meals among young girls is depicted in table 5. We can note from the table that the tendency to skip meals is higher in the youth of Chattogram (80%) followed by 65.8 in Cox's Bazar.

Figure 3 represents the habit of intake meal in a day among the participants. Highest  meal intake (52%) was three times a day followed by 36% participants took meal at  least 4 times a day
Figure 3 represents the habit of intake meal in a day among the participants. Highest meal intake (52%) was three times a day followed by 36% participants took meal at least 4 times a day

Adolescent girls’ nutritional status in the observed areas 1. Nutritional status according to MUAC

The prevalence of MAM was also higher (14.6%) in the Rohingya camp than in the other two areas. The prevalence of overweight was found to be higher (10%) in the Chattogram, followed by Cox's Bazar and the Rohingya community made up 9.2% and 2.5% separately. In these three different areas and cultures, normal nutritional status was higher in the Rohingya community.

No significant association was found between family size and two-week illness with nutritional status. Statistically positive significance was found between nutritional status and area, age, marital status, respondents' education, father's education, mother's education, source of drinking water, family income, frequency of meals, skipping meals, premenstrual syndrome. Area, age, premenstrual syndrome, missed meals and nutrition knowledge were significant parameters of BMI.

In case of area, the probability of underweight and overweight was 1.86 times and 1.73 times higher for Chattogram (area 1) than Rohingya community (area 3) compared to normal weight. The odds of being underweight and overweight were 1.78 times and 2.28 times higher for Cox's Bazar (area 2) than the Rohingya community compared to normal weight. The risk of being underweight was 2.21 times higher in those with premenstrual syndrome (PMS) than without PMS compared to normal weight.

The probability of being underweight was 2.14 times higher who skipped a meal than that of no meal skipper compared to normal weight. The probability of being underweight and overweight was 1.39 times and 1.80 times higher for no knowledge about nutrition than having knowledge compared to normal weight.

Table 6: SAM and MAM prevalence among adolescent girls’ area wise
Table 6: SAM and MAM prevalence among adolescent girls’ area wise

Chapter-5: Discussion

The prevalence of underweight was higher in the low-income family and the prevalence of overweight was higher in the high-income family. The propensity for increased nutritional status of the adolescent girls with higher household income was observed in the current study which was also revealed in the findings of Hossain et al. Having food from adolescent studies has come into the limelight and several studies have claimed that adolescent girls have a bad diet.

The current study found the association of meal frequency with nutritional status like the findings of Wolde et al. The adolescent girls who eat less than two meals a day are more likely to be underweight than the girls who eat more than three meals a day. to use. This study reveals the relationship between the tendency to skip meals and nutritional status, which was also observed in the study by Wolde et al.

The tendency to skip meals was higher among the participants in the Chattogram area and the least percentage of this practice was seen among the girls in the Rohingya camp. This mistreatment may contribute to the higher incidence of underweight among the respondent of the Chattogram. Knowledge of nutrition is one of the important predictors that contribute to nutritional status.

Girls who have good knowledge about nutrition are more likely to have normal weight than the girls who have less knowledge. But the finding of the study conducted by Alam et al. 2010) shows a negative relationship between nutritional knowledge and status. In this study, PMS incidence was found to be significantly associated with the nutritional status of the adolescent girls, which were similar findings reported by Samanta et al.

Chapter-6: Conclusion

Chapter-7: Recommendation and Future perspective

Limitations of the study

Questionnaire

Respondent's age: For fractions, write down the age in the right-hand corner of table 10.

Photo gallery

Gambar

Table 2: Socio-economic characteristics of adolescent girls
Figure  1  depicts  the  general  pattern  of  morbidity  among  the  adolescent  girls
Figure 2: Occurrences of premenstrual syndrome among the participants.
Figure 2 indicates the rates of premenstrual syndrome (PMS) among the girls. More  than  three  fourth  (79%)  of  the  girls  suffer  from  PMS  during  their  menstrual  period
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