Can Second Hand Cigarette Smoke Make a Child High

REVIEW PAPER

The clan between secondhand smoke exposure and growth outcomes of children: A systematic literature review

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one	Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
2	Department of Nutrition, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia

CORRESPONDING Author

Siti R. Nadhiroh

Section of Nutrition, Faculty of Public Health, Universitas Airlangga, Kampus C Unair Mulyorejo Street, Mail Code 60115, Surabaya, East Java, Indonesia

Submission date: 2019-10-03

Final revision date: 2020-02-02

Credence engagement: 2020-02-05

Publication date: 2020-03-03

Tob. Induc. Dis. 2020;xviii(March):12

KEYWORDS

TOPICS

Abstruse

Introduction:
The strong relation between maternal smoking and maternal secondhand smoke (SHS) exposure and the growth of newborn infants has been proven. However, the effect of SHS on growth outcomes of older children is not well defined. Through a systematic literature review, we sought to determine whether a relationship exists between SHS exposure and growth outcomes of children up to 8 years of historic period.

Methods:
A systematic review was performed, including articles published betwixt 2004–2019, related to SHS exposure (prenatal and postnatal) and children's growth (weight, length/pinnacle, and caput circumference). The relevant manufactures were identified from Scientific discipline Direct, ProQuest, Sage Publication, Scopus, Wiley Online Library, CINAHL Plus with Total Text (via EBSCOhost) and Google search.

Results:
Seventeen manufactures were identified, of which three categories of growth measurements were extracted, comprising weight (weight, WAZ, WHZ, and BMI), height (top/length and HAZ) and head circumference. SHS exposure both pre or postnatally was inversely associated with weight (deficit in weight, adventure of underweight, risk of wasting) and height (lower length and risk of stunting) and elevated BMI of children. Furthermore, prenatal SHS exposure was associated with a lower head circumference.

Conclusions:
The current review identified that exposure to SHS may be associated with adverse growth outcomes in children. It is crucial that active smokers, specifically those who live with children or with a meaning partner, are fabricated aware of the potential furnishings of SHS exposure on non-smokers. Further assessment of the association betwixt exposure to SHS and other growth outcomes in other age groups is needed.

INTRODUCTION

More than a third of the global population are passive smokers and regularly exposed to the dangerous effects of tobacco smoke. Smoke exposure is responsible for approximately 0.half-dozen million deaths annually and approximately one% of global affliction effectually the worldⁱ. The result of a study across 192 countries showed that 40% of children were exposed to secondhand smoke (SHS)² and 36% were exposed to SHS in utero³. This makes the implications of exposure a potentially significant public health trouble.

Early childhood (usually defined as a newborn infant until the historic period of viii years) is the stage of incredible growth in several aspects: concrete, cerebral, social-emotional, and language skills^four,5. During the early years, the encephalon develops quickly and has a loftier capacity for change, with the foundation prepare for wellness and wellbeing throughout life. Therefore, this catamenia is disquisitional. Protecting children from threat, including secondhand fume exposure, is office of nurturing intendance that is sensitive to children'due south wellness and nutrition needs^five.

The existing studies showed that SHS exposure has a strong relation with low birth weight^six-8, premature birth⁹, shorter babe length¹⁰, higher risk of fetal decease, congenital defects^eleven, and babyhood obesity¹². To date, limited information has been collated to illustrate the association between SHS exposure in non-smoking mothers during pregnancy and/or in children during postnatal life and the growth of children. 2 review studies examined the association betwixt SHS exposure and children growth outcomes, focusing on tobacco employ of the mother during pregnancy^13,14. Two other review articles explored the impact of SHS exposure on not-smoking pregnant women on anthropometric growth of children, focusing on the newborn baby^15,xvi.

The objective of this systematic literature review was therefore to determine whether SHS exposure was associated with growth outcomes in children upwards to 8 years of age.

METHODS

Search strategy

We identified the eligible literature through a systematic search in vii electronic databases: Science Straight, ProQuest, Sage Publication, Scopus, Wiley Online Library, CINAHL Plus with Full Text (via EBSCOhost) and Google search, without fourth dimension-window restriction. The search used a combination of keywords from SHS (tobacco, tobacco smoke, ecology tobacco smoke, passive smoking, and secondhand smoke) and growth (anthropometric, growth, weight, length, and caput circumference). Afterward the abstracts were retrieved and screened, we evaluated the full text of the articles that related to SHS exposure and children's growth. The boosted articles were searched using the bibliography of the selected articles. The literature search was completed in June 2019.

Inclusion and exclusion criteria

To be eligible for inclusion, the article must nowadays the data from an observational study that includes both a measure of SHS exposure (pre or postnatal) and that at least one of the research objectives is measuring the children's growth through anthropometric measurements. The anthropometry indices were weight, summit, caput circumference, weight-for-historic period z-score (WAZ), length or height-for-historic period z-score (HAZ), weight-for-length or weight-for-tiptop z-score (WHZ), caput circumference z-score (HCZ), trunk mass index-for-age z-score (BMIZ) or BMI-for-historic period percentile, and BMI or Kaup index. BMI and Kaup indices divide weight by the square of the height (kg/1000²)^17,18. Underweight (< -2 SD WAZ), stunting (< -2 SD HAZ), wasting (< -2 SD WHZ and BMIZ) and overweight (> +2 SD WHZ and BMIZ; ≥85 percentile BMI-for-historic period) are used to measure nutritional imbalance resulting in malnutrition (assessed from underweight, wasting, and stunting) and overweight^19-21. Too, Z scores < -3 SD for WHZ, WAZ or HAZ were considered as severely wasted, severely underweight, or severely stunted²².

Retrieved articles were excluded if the exposure and issue variables were not defined conspicuously or if the clan of the growth event with SHS exposure could not be determined independently of other toxins such as air pollution or illicit drug exposure in utero, due to these factors being combined into ane variable. This paper focused on SHS exposure on children aged <8 years. Therefore, if an article but included children aged ≥8 years, the article was excluded.

In addition, if no statistical evidence relevant to our inquiry question was presented (eastward.1000. data not shown) or were not original enquiry articles, these were also excluded²³. Every bit the effect of maternal smoking in the prenatal period on the growth of the offspring has been reviewed thoroughly elsewhere^13,14, the aim of the present review was to emphasize SHS exposure from other people smoking (i.e. paternal smoking). Therefore, articles that had data only on maternal smoking in pregnancy were excluded from the present systematic literature review.

Data quality assessment

The quality of the studies was appraised using a scale adapted from the Newcastle/Ottawa Scale (NOS) (the appraisal standard of NOS is presented in the Supplementary file). Each study was assessed using the point system based on the NOS. 1 point was added when a study included relevant information that could exist related to the NOS. 8 items in cohort studies and five items in cantankerous-sectional studies that could exist related to the NOS were identified. Hence, cross-exclusive studies assigned v, 4, 3, or 0–2 points, were assessed as 'very good', 'proficient', 'satisfactory' or 'unsatisfactory', respectively. Also, cohort studies with vii–viii, five–6, 4, or 0–3 points, were classified equally 'very good', 'expert', 'satisfactory' or 'unsatisfactory', respectively. Unsatisfactory studies were excluded^24,25.

Data extraction

Any issues that occurred are discussed below for each commodity. For all manufactures, the following data were independently extracted: year of publication, study design, participant sampling, state, number of participants, mean participant historic period, participant gender, percentage of participants exposed to SHS, SHS measurement, growth measurement, covariates included in the analysis, and the study outcome.

RESULTS

The literature search identified 2138 records, of which 2105 were excluded after screening title and abstract for relevance to the enquiry question and removal of duplicates. Using the inclusion and exclusion criteria, we selected 34 full texts for further assessment. A full of 17 studies were excluded after screening for relevant and sufficient information, including maternal smoking during pregnancy simply, no statistical evidence, not using an anthropometric measure, not assessing relationship under question, and anthropometric measurement in adults only. In total, 17 studies were included in our final systematic review (Figure i).

Figure one

Flowchart for article choice

The articles were published between 2004–2019, viii were cross-sectional^21,26-32, and the other nine studies were prospective studies^17,18,33-39. The age range included in this review was from 0 to 7 years old. Nine studies were conducted in Asian countries, two in the U.s., 4 in Europe, and the last two^29,32 were conducted in multi-countries (eighteen and 7 countries, respectively). Four manufactures used a biomarker for SHS exposure cess, including cotinine serum¹⁷, plasma cotinine¹⁸, and urinary cotinine^34,37. Meanwhile, the other articles used an interview or self-report through a questionnaire, from parents or caregivers, to estimate the SHS exposure. The articles are presented in two sections: growth measurements in children exposed to prenatal SHS (n=v; Table 1), and growth measurements in children exposed to postnatal SHS (north=12; Tabular array ii).

Table 1

Growth measurements in children who had been exposed to SHS during the prenatal period

Authors (year)	Methodology, sample and location	North	Population/sample characteristics	Measurement of SHS exposure	Measures of anthropometric functioning	Confounders measured	Outcomes
Fenercioglu et al.³³ (2009)	Prospective cohort, Turkey	159	Infant assessed at age 0, three and 6 months; 50.iii% female;35.8% exposed to SHS	Self-study past mother. Exposed to SHS if a household member smoked ≥10 cigarettes/twenty-four hours within the house	Weight, length, HC	Maternal pedagogy, economical condition of family, parity, historic period, pre-pregnancy weight and acme, paternal tiptop	SHS exposure associated with deficit in children weight (mean= -378.sixteen; 95% CI : -708.21, -48.10; p<0.01), length (hateful= -2.26; 95% CI: -3.61, -0.91; p<0.01) and head circumference (mean= -1.17; 95% CI: -1.77, -0.56; p<0.01) at 3rd month compared to children non exposed to SHS
Braun et al.¹⁷(2010)	Prospective nascence cohort, USA	292	Baby assessed at nascence, four weeks, and one, 2 and iii years; % female (not given); 51% exposed to SHS	Interview with mother and prenatal serum cotinine (exposed vs not exposed)	BMIZ	Socio-demographic (maternal age, race, instruction, marital condition and household income), perinatal variables (maternal depression, maternal BMI and parity) and childhood nutrition	SHS exposure associated higher BMI at 2 years (mean difference= 0.3; 95% CI: -0.i, 0.7) and three years (mean deviation= 0.4; 95% CI: 0.0, 0.viii) compared with unexposed children (p-value not reported)
Braimoh et al.^eighteen (2017)	Hokkaido large-scale cohort, Nippon	1356	Infant assessed at birth, 1.5 and three years; 50.i% female person; 58.9% exposed to SHS	Maternal plasma cotinine (exposed vs not exposed)	Kaup index used by dividing the weight by the square of the summit (kg/m^two)	maternal historic period, elevation, weight before pregnancy, annual household income, maternal educational activity level, infant gender, gestational age, maternal and partners' smoking status (yes/no) at ane, 2 and 4 years after commitment; and chest feeding	SHS exposure associated with smaller Kaup index gain from birth up to three years of children born to passive smokers than in those born to not-passive smokers (−0.34 kg/grand²; 95% CI: −0.67, −0.01; p<0.05)
Robinson et al.³⁴ (2016)	Spanish INMA prospective nascency cohort, Spain	1866	Infant assessed at iv years; % female (not given); 29.vi% exposed to SHS	Interview with female parent and prenatal urinary cotinine (exposed vs non exposed)	BMIZ	Socioeconomic status, maternal country of origin, maternal age, maternal BMI, breastfeeding, and kid physical and sedentary activity at 4 years, paternal BMI, maternal physical activity and booze consumption, maternal and child nutrition	SHS exposure associated with higher kid weight status up to 4 years (BMIZ of 0.15 SD; 95% CI: 0.05–0.25) than non-exposed group, p-value not reported
Soesanti et al.³⁹ (2019)	Prospective accomplice, Indonesia	305	Infant assessed at birth, day 7, and months 1, 2, 4 and six, postnatally; 46.9% female; 76% exposed to SHS	Self-study past mother (exposed vs not exposed)	WAZ, HAZ, HCZ	Level of education, household income, maternal age and BMI (ΔBMI), parity, and breastfeeding	SHS exposure ≥23 cigarettes/day only associated with lower HC increment (-0.32 mm/m, 95% CI: -0.60, -0.03; p=0.03) than not-exposed group

Tabular array ii

Growth measurements in children who had been exposed to SHS in the postnatal menstruation

Authors (yr)	Methodology, sample and location	N	Population/sample characteristics	Measurement of SHS exposure	Measures of anthropometric operation	Confounders measured	Outcomes
Tielsch et al.³⁵ (2009)	A prospective cohort in Tamil Nadu, Bharat	11728	Newborns were followed from birth through 6 months; % female (not given), 39% exposed to SHS	Interview with mothers: exposure to household SHS (reported number of cigarettes smoked in the household per day)	WAZ, HAZ, WHZ	Household demographic and socioeconomic indicators, maternal characteristics, delivery characteristics and the randomized treatment assignments	SHS exposure (i–x cigarettes/day) not associated with underweight (RR=0.99; 95% CI: 0.93–1.05), stunted (RR=0.94, 95% CI: 0.88–i.02) and wasted (RR=1.02; 95% CI: 0.92–1.12) SHS exposure (≥10 cigarettes/mean solar day) also not associated with similar results
Moore et al.³⁶ (2017)	Prospective cohort, Colorado, United states	813	Newborns were followed from birth through 5 months; 50% female, 15.9% exposed to SHS	Phone interview with mothers at age 5 months of babies (exposed vs not exposed)	BMIZ, WAZ, WHZ	Maternal: race/ethnicity, pedagogy, smoking during pregnancy; household income; Offspring: age, sex, age at introduction of solid foods	SHS exposure not associated with BMI for-age z-score = 0.2 (95% CI: 0.0–0.4; p=0.07) (merely amidst infants who were not exclusively breastfed)
Baheiraei et al.³⁷ (2015)	Prospective cohort in southern Tehran, Iran	102	Babe assessed at iii–5 days (baseline), 2 months, and iv months later nascence; 62.7% female person; l% exposed to SHS	Interview with parents (number of cigarettes smoked in the presence of their infants) and babe urinary cotinine	Weight, length and HC	Socio-demographic characteristics, mothers' cigarette smoke exposure during and subsequently pregnancy and the nutrition condition	SHS exposures associated with lower weight (g) (mean±SD) at two months (exposed: 5258.82±233.6 vs unexposed: 5592.1±216.4; p<0.001) and four months after nascence (exposed: 5383.4±272.8 vs unexposed: 5730.3±280.7, p<0.001). Not-exposed infants were taller than the exposed at 4 months afterward birth (median 60 (60–62) vs 61 (60–62) cm, p<0.001). Caput circumference was not significantly unlike betwixt the ii groups at 2 and 4 months of age
Semba et al.²⁶ (2007)	Nutritional surveillance system (NSS) in Indonesia	175583	Children 0–59 months of age; 48.0% female; 73.8% exposed to SHS	Interview with parents (exposed vs not exposed)	WHZ, WAZ, HAZ	Age of child; gender; Maternal: historic period, education, smoking condition; Paternal: education, smoking status; Total weekly household expenditure per capita; Number of household members eating from same kitchen	SHS exposure associated with child stunting (OR=1.11; 95% CI: one.08–1.14, p<0.0001), astringent wasting (OR=1.17; 95% CI: 1.03–1.33, p=0.018) and astringent stunting (OR=1.09; 95% CI: i.04–ane.15, p<0.001) but not associated with kid underweight
Bonu et al.²⁷ (2004)	National Family Health Survey-2 (NFHS-II) in Bharat	92486	Children anile 0–35 months; % female (not given), 16.1% exposed to SHS	Interview with mothers (exposed vs not exposed)	WAZ, HAZ	Residence (urban/rural), caste, household wealth, and organized religion at the household level; historic period and education of mother, and sex of the child at the individual level	SHS exposure associated with severely underweight (OR=1.21; 95% CI: 1.05–1.forty; p<0.05) but non associated with severe stunted (OR=1.12; 95% CI: 0.98–1.27)
Best et al.²⁸ (2007)	The Bangladesh Nutrition Surveillance Projection	77678	Children 0–59 months of historic period, % female person (not given), 69.9% exposed to SHS	Interview with mothers (exposed vs non exposed)	WHZ, WAZ, HAZ	Child age, kid gender, maternal age, maternal didactics level, total monthly household expenditure per capita	SHS exposure associated with an increased risk of stunting (OR=1.17; 95% CI: i.12–1.21; p<0.0001); underweight (OR=1.17; 95% CI: 1.12–i.22; p<0.0001); wasting (OR=1.10; 95% CI: 1.03–i.17; p=0.004); severe stunting (OR=one.16; 95% CI: 1.10–1.23; p<0.0001), severe underweight (OR=one.21; 95% CI: ane.13–1.xxx; p<0.0001) and astringent wasting (OR=1.142; 95% CI: 0.98 –i.32; p=0.09)
All-time et al.³⁰ (2008)	The Indonesia Nutrition and Health Surveillance System	438336	Children 0–59 months of age; 46.9% female person; 73.7% exposed to SHS	Interview with mother or other developed member of the household (exposed vs not exposed)	WAZ, HAZ	Child historic period and gender, maternal age, maternal and paternal education, per capita weekly household expenditure and province	SHS exposure was associated with an increased risk of underweight (OR=i.03; 95% CI: 1.01–1.05; p=0.001) and stunting (OR=1.11; 95% CI: i.09–1.13; p<0.001) and severe underweight (OR=ane.06; 95% CI: 1.01–1.10; p=0.020) and astringent stunting (OR=1.12; 95% CI: 1.08–one.16; p<0.001)
Chowdhury et al.³¹ (2011)	The Hospital Surveillance Arrangement of International Eye for Diarrheal Disease Inquiry, Dhaka Infirmary, People's republic of bangladesh	13555	Children 0–59 months of age; % female (non given); 49% exposed to SHS	No description (information extracted from a database of hospital-based surveillance arrangement) (exposed vs not exposed)	WHZ, WAZ, HAZ	Child's age, maternal age, maternal education, family size, socioeconomic status, father'southward smoking	Paternal smoking was associated with increased risk of moderate underweight (OR=one.16; 95% CI: 1.08–1.25), severe underweight (OR= ane.15; 95% CI: 1.06–1.26), moderate stunting (OR= 1.15; 95% CI: 1.06–1.23) and severe stunting (OR= one.xiii; 95% CI: one.03–ane.25), p-value non reported. Paternal smoking was neither associated with the chance of either moderate or severe wasting
Kyu et al.³² (2009)	Cross-sectional DHSs conducted in Cambodia, Dominican Republic, Haiti, Jordan, Moldova, Namibia and Nepal	7289	Children (0–59 months); 48.xv% female person; 19.7% exposed to SHS	Interview with parents (exposed vs non exposed)	HAZ	Kid age and gender, early on initiation of breastfeeding within ane h after birth, mother's age and instruction, number of children ever built-in, child size at birth, household wealth and country of residence	SHS exposure was non associated with stunting (OR=1.004; 95% CI: 0.84–1.19), and astringent stunting (OR=1.18; 95% CI: 0.93–1.49)
Raum et al.²¹ (2011)	Cross-exclusive written report conducted in Aachen, Germany	1954	Children assessed at the age of 6 years; % female (non given); 33.4% exposed to SHS	Interview with parents nigh exposure during 1st year only, exposure at age half-dozen years only, exposure at both time periods (exposed vs not exposed)	BMI-for-age percentile	Nativity and infancy (birth weight, chest feeding, parity), Children'southward current lifestyle factors (watching TV, sports, fast food consumption), Parental factors (teaching, maternal BMI)	SHS exposure associated with overweight at historic period 6 years at either 1 of the two time periods; first yr only (OR=2.94; 95% CI: 1.30–6.67), 6th year but (OR=ii.57; 95% CI: 1.64–iv.04) or at both (OR=4.43; 95% CI: ii.24–8.76), p-value not reported
Yang et al.³⁸ (2013)	Accomplice of Belarusan children	13889	Children 6.5 years of historic period; 47.% female; 51.2% exposed to SHS	Cocky-reported by mother (exposed vs not exposed)	BMI-for-age percentile	Maternal and family characteristics (maternal and paternal age, marital status, number of older children in the household, maternal booze consumption during pregnancy, area of residence, and maternal and paternal education, occupation, meridian, BMI and smoking	SHS exposure associated with higher BMI for maternal smoking (OR=0.two; 95% CI: 0.ane–0.3), for paternal smoking (OR=0.1; 95% CI: 0.07–0.2), and increased odds of overweight/obesity for maternal smoking (OR=one.two; 95% CI: i.0–one.5), for paternal smoking (OR=1.1; 95% CI: 1.0–i.3), p-value not reported
Braithwaite et al.²⁹ (2015)	Cross-sectional report (ISAAC Stage Three) in xviii countries)	77192	Children aged half dozen–7 years; % female person (non given); 43.1 % exposed to SHS	Cocky-reported by parents/guardians, mother smoked in the 1st year of the child'south life and electric current smoking habits of both parents (exposed vs non exposed)	BMI	Land GNI, centre, individual fast food usage, historic period and measurement blazon	SHS exposure associated with greater BMI (+0.11 kg/mⁱⁱ; SE=0.04; p=0.002) during outset year of life for maternal smoking and greater BMI (maternal smoking: (+0.07; SE=0.03; p=0.03); paternal smoking in high GNI countries: (+0.15; SE=0.02; p<0.0001); just smaller BMI in low GNI countries (−0.14; SE=0.05; p=0.004) in currently smoking parents

From 17 articles selected, the current review explored 3 anthropometric measurements equally the outcome of SHS exposure from each of viii studies, two anthropometric measurements were captured from each of two studies, and only one anthropometric measurement was taken from each of 7 articles. The present review then classified measurements into three groups, comprising weight (weight, WAZ, WHZ and BMI), height (height/length and HAZ), and caput circumference.

SHS exposure and weight of children

Nine studies investigated the outcome of SHS exposure on at least one measurement of weight, WAZ or WHZ. While 7 studies explored the association betwixt SHS exposure and at to the lowest degree one measurement of BMI (BMI, BMIZ, BMI-for-age percentile or Kaup index). Exposure to SHS was inversely associated with weight consequence (deficit in weight, adventure of underweight, risk of wasting) in 7 of nine studies^{26–28,30,31,33,37}. The remaining two studies presented no association between them^35,39. Only two of ix studies evaluated exposure of SHS during the prenatal period. Furthermore, seven studies conducted in low-income and lower middle-income countries and 2 other studies performed in upper centre-income countries based on World Bank nomenclature 2019–2020^twoscore.

SHS exposure was associated with college BMI or overweight in 4 of vii studies^17,21,34,38. One study showed no clan³⁶ and ane study presented an changed association between SHS exposure and BMI¹⁸. The final study by Braithwaite et al.²⁹ revealed two contrasting results in high and low GNI (gross national income per capita) countries, with SHS exposure associated with college BMI in loftier GNI countries and lower BMI in depression GNI countries. Three of seven studies, conducted in children anile 6–vii years, found college BMI in exposed children^21,29,38. Also, all studies in high-income and upper center-income countries, except ane, were conducted in xviii countries with ii levels of GNI.

SHS exposure and height of children

Ten studies examined the issue of SHS exposure on at to the lowest degree one acme indicator (tiptop/length and HAZ), from those two studies conducted in the prenatal menstruation. Eight of 10 studies were performed in low-income and lower centre-income countries and the other two were in upper middle-income countries.

SHS exposure was associated with lower length in ii studies^33,37 and a college take a chance of stunting in four studies^26,28,30,31. Nevertheless, exposure to SHS and length/height or risk of stunting were not related in four other studies^27,32,35,39.

SHS exposure and head circumference

3 studies evaluated the effect of SHS exposure on the caput circumference (HC) in children. Two studies, performed during the prenatal period, constitute a significant association between SHS exposure and lower HC in children^33,39. Finally, one report was conducted for the postnatal period, and the head circumference was found not to be significantly different between the exposed and non-exposed to SHS³⁷.

Discussion

This review notes that SHS exposure during the pre or postnatal period has adverse effects on weight and height outcomes in childhood. There is also evidence that SHS exposure in the prenatal period is associated with a lower head circumference. In that location are several potential mechanisms on how prenatal exposure influences growth in children. SHS contains more than 4000 chemical substances amongst which are some of the primary carcinogenic substances, such as Polycyclic effluvious hydrocarbons (PAHs), 4-aminobiphenyl (ABP), tobacco-specific nitrosamines N'-nitrosonornicotine (NNN), and 4-(methylnitrosamino-) one-(iii,pyridyl)-1-butone (NNK)⁴¹. PAHs, ABP and N-nitrosamines may cross from the maternal serum to fetus circulation^42-44. In passive smoker mothers, PAHs and NNK might pass through the placenta and directly influence the children's hypothalamic centres, which may delay body growth¹⁸. Information technology is known that the hypothalamus has a vital function in the control of body weight by balancing nutrient intake, energy release, and body fat storage⁴⁵.

Moreover, a study showed that height growth of children exposed to cigarette smoke was lower because the smoke contains cadmium, which disturbs zinc bioavailability⁴⁶. PAHs and NNK may besides go through the placenta and direct influence the volume of the fetus anterior cingulate region, and this condition may crusade a lower head circumference of the baby¹⁸. Head growth during prenatal period and infancy is crucial as it is related to subsequent IQ development and is essential in determining how well cognitive abilities are maintained in old age^47,48.

Another reason might be related to lower nutrition in SHS exposed children, due to family unit income spent on cigarettes rather than food^26,28,30,49. Furthermore, SHS causes frequent wellness bug in infants and children⁵⁰. Based on UNICEF's conceptual framework on child undernutrition, inadequate dietary intake and frequent illness are firsthand causes of child undernutrition⁵¹. A study by Danaei et al.⁵², in 137 developing countries, demonstrated that fetal growth restriction (FGR) and bad sanitation were the leading chance factors for stunting in developing countries. Passive smoking during pregnancy is notably associated with an increased incidence of FGR. The present review also reveals the association between parental smoking and kid stunted growth.

The present review too showed an association betwixt prenatal or postnatal SHS exposure and higher BMI, peculiarly in children aged 6–vii years. A study by Braun et al.¹⁷ establish stronger effects of tobacco fume exposure every bit children go older. Our review is in line with a meta-analysis by Oken et al.¹³ on 14 articles (with 84563 children) and Magalhães et al.⁵³ that children whose mothers smoked during the prenatal period were at an elevated take chances of becoming overweight in childhood (OR=i.5 and OR=1.43, respectively). A meta-analysis by Qureshi et al.⁵⁴ demonstrated the clan between prenatal exposure to ecology tobacco smoke and childhood obesity with OR=i.905.

Prenatal SHS exposure of the female parent might crusade low nascence weight (LBW). It might lead to LBW through the potential pathways of maternal inflammation and lower placental weight^six. LBW is a proxy-marking of poor fetal growth and nutrition. Based on the Developmental Origins of Wellness and Disease (DOHaD) hypothesis, the underlying machinery is poor nutrition (information technology might be due to nicotine exposure) in utero or during early on childhood that affects the run a risk of disease later in life. Some of the mechanisms brainstorm at the time of the perinatal insult, while other mechanisms perform a more meaning part in influencing metabolic disease during the postnatal flow (i.e. during catch-up growth). Information technology is similar to the concepts of fetal programming and Barker'south hypothesis, which illustrate the relationship between a specific path of growth—consisting of slow growth in utero and rapidly increasing BMI in postnatal menstruum—and the development of chronic diseases after in life, such equally coronary heart affliction and related disorders including stroke, hypertension and not-insulin dependent diabetes^55,56.

Both undernutrition and overnutrition take like long-lasting physiologic effects. Undernutrition increases susceptibility to fatty aggregating, insulin resistance in machismo, hypertension, dyslipidaemia and a reduced chapters for manual work, amid other impairments⁵⁷. Elevated BMI in babyhood predicts risk of hypertension in young adulthood, blazon ii diabetes, and, to a bottom extent, cardiovascular diseases^58,59.

Strengths and limitations

The strengths of this review include its wide-ranging search strategy, systematic data extraction and quality cess method used. All the same, there are some limitations. These include the number of participants among extracted articles, the relatively significant difference between study areas, and express to South-Eastern and Western Asia. These factors might affect the results of the review. At the same time, it reveals the need to further investigate the clan between secondhand fume exposure and growth measurement of children in other countries. Furthermore, the small number of published studies, especially on caput circumference, as an effect of SHS exposure, prevents us from drawing firm conclusions.

CONCLUSIONS

The electric current review emphasizes that growth (beneath or higher up the standard) in children may exist affected by secondhand fume exposure pre or postnatally. SHS exposure should thus be considered a modifiable risk cistron for underweight, wasting and stunting, specifically in depression-income and lower middle-income countries; elevated BMI and overweight specially in high-income and upper middle-income countries; and small head circumference that might be due to prenatal SHS exposure.

This review implies that it is crucial that people who currently are agile smokers, specifically those who live with children or with a significant partner, are made aware of the potential effect of tobacco smoke exposure on non-smokers. By encouraging household members to finish smoking (and/or by declining smoking prevalence rates in the population as a whole), the burden of children'due south growth problems would as well be reduced at the population level. Furthermore, it is also of import to encourage families to maintain a smoke-costless home surroundings, and hence education on the health risks of SHS exposure may protect non-smoking women and their children from SHS exposure and its potential negative effects on growth outcomes.

CONFLICTS OF INTEREST

The authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none was reported.

FUNDING

This study was supported by Ministry of Enquiry and Technology/National Agency for Research and Innovation, Republic of Indonesia.

PROVENANCE AND PEER REVIEW

Non deputed; externally peer reviewed.

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Source: http://www.tobaccoinduceddiseases.org/The-association-between-secondhand-smoke-exposure-and-ngrowth-outcomes-of-children,117958,0,2.html