Abstract
Introduction
The rampant distribution of idealised images on the internet may lead the general public to improve their body appearance in a way that is sometimes excessive, compulsive or detrimental to other aspects of their lives. There is a decreasing appreciation of body image among emerging adults and an increasing trend on skin-lightening practices linked with psychological distress. This protocol describes the mixed-method approach to assess the relationships among body image perception, skin-lightening practices and mental well-being of Filipino emerging adults and determine the factors that influence them.
Methods and analysis
An explanatory sequential mixed-method approach will be used. A cross-sectional study design will involve an online self-administered questionnaire of 1258 participants, while a case study design will involve in-depth interviews with 25 participants. Data analysis will use generalised linear models and structural equation modelling with a Bayesian network for the quantitative data. Moreover, the qualitative data will use an inductive approach in thematic analysis. A contiguous narrative approach will integrate the quantitative and qualitative data.
Ethics and dissemination
The University of the Philippines Manila Review Ethics Board has approved this protocol (UPMREB 2022-0407-01). The study results will be disseminated through peer-reviewed articles and conference presentations.
Keywords: MENTAL HEALTH, EPIDEMIOLOGY, Anxiety disorders, Depression & mood disorders, PUBLIC HEALTH
Strengths and limitations of this study.
The mixed-methods approach will allow the researchers to capture the complexity of human phenomena, such as the main interests of this research—body image perception and skin-lightening practices.
The use of a mixed-method approach will allow for greater validity by seeking corroboration between the gathered quantitative and qualitative data.
The case study design may be used at various points of the research project, and the ability to explore deeper causes of particular phenomena will be achieved.
This study is only limited to Filipino emerging adults residing in the Philippines. It may also be limited to the study population with internet access since the survey will only be available online. Therefore, it may not capture the intended study population who do not have internet access.
The use of a cross-sectional study design in the quantitative part will not examine the temporal relationships between body image perception, skin-lightening practices and mental health status.
Introduction
Mental health concerns and body images
Emerging adulthood represents a developmental period that follows adolescence and precedes adulthood. Various changes regarding their body will be experienced in this developmental period. These changes put the emerging adults at risk of being dissatisfied with their body appearance.1 2 Factors including the timing of puberty, body mass index changes, sexual experiences and sexual maturation affect how emerging adults perceive themselves and their bodies.3 4 Among emerging adults, there is an increasing trend of observations on body dissatisfaction linked with depression5–7 and psychological distress.8 Three essential factors became the basis for the later development of eating dysfunction due to body dissatisfaction: peers, parents and media, according to the Tripartite Influence Model. It is one of the most influential models depicting the development of eating problems.9 The model includes two intervening factors that connect the influences to disturbed body image and eating problems: the internalisation of the societal standard of appearance and increased tendencies to compare appearances.10 Patterned from the Tripartite Influence Model, in a previous study, results showed Filipino males had more significant dysfunction in eating attitudes compared with Europeans, while control over eating and bulimic eating behaviour was prominent in Filipino females.11 These behaviours are eminent in non-Western culture due to the fear of getting fat.12 13 However, contrary to these previous results, positive body image was also linked with better overall well-being and quality of life.8 14 15 Measurements such as body appreciation and body esteem are positively associated with mental well-being.16 17
Global skin-lightening practices
Skin-lightening practices became a trend among emerging adults to modify one’s skin tone. Skin-lightening practices are an understudied field in public health; therefore, there is an accentuated need for more epidemiologic research, particularly in under-represented countries.18 The global phenomenon of using skin-lightening products (SLPs) is rooted in the perception that lighter skin tones may result in more opportunities in life.19 SLP use among and between some ethnic/racial groups in Asia and Africa increased due to this perception.20 21 A lighter skin tone is seen as a symbol of beauty, attractiveness and desirability in the African region.19 Skin lightening is driven by a variety of factors, including psychological, cultural, sociopolitical and historical factors.22–25 Many international cosmetic companies have used these driving factors to capitalise on this market. Companies manufacturing SLPs used different marketing strategies, such as internet marketing and social media public relations. The cultural phenomenon of skin lightening has become widespread in Asia, and it may affect the mental well-being of SLPs consumers.26 27 In addition, some people use SLPs to manage and treat conditions relating to dermatology, including hyperpigmentation, melasma, age-induced darkening and acne.27 28 Homemade formulations using household items combined with SLPs are now rampant among consumers. However, the unregulated and unsupervised mixing of SLPs with household items may bring dangerous effects, such as ochronosis (blue-black hyperpigmentation in the skin).28
Skin-lightening practices and mental health concerns
Studies examining the association between using SLPs and mental health problems are a relatively new field of study. However, it has been recently observed that SLPs use is significantly associated with body image disturbances and previous exposure to trauma.29–31 Research focused on skin-lightening practices also identified psychological correlates among Asian and African populations. There are related psychological problems that have been highlighted and are categorised as (1) self-esteem-related factors,14 26 32 (2) body image-related factors14 33 34 and (3) other potential psychological factors, such as the history of trauma and depressive symptoms.31 35 In the Philippines, the Filipino’s psychological state due to American colonialism contributes to the success of the rampant SLP use.36 In a more recent period, SLP use may also be attributed to the tendency to conform to popular culture.36 A recent study among young Filipino men pointed out that their body modification practices, particularly the use of SLPs, are mediated by the influence of peers, employers and global pop culture.37
Exposure to media and its influence
Global pop culture consisting of the media and social media and peer pressures may influence how emerging adults see themselves.38 39 The emerging adult’s perception of their appearance can become distorted, leading them to engage in risky behaviours when they feel they do not measure up to the impossible goal set. The media’s effect on body image perception can cause body image issues, leading to greater risk for poor mental health conditions, eating disorders, drug and alcohol use, cutting and sexual risk behaviours.40 Media also plays an essential role in encouraging consumers to buy and use SLPs.25 In addition, the media portrays the lightness of the skin tone as an epitome and a standard for beauty in some cultures.41 42 Body image, beauty and fair skin tone are the main concepts of information dissemination and product advertisements portrayed in television, magazines, newspapers and on social media platforms, including Facebook, Twitter, Instagram and TikTok.23 27 43–45
Mental health landscape in the Philippines
The Philippines has recently passed the first law concerning the mental health of Filipinos, the Mental Health Act (Republic Act no. 11036). The Act seeks to establish access to comprehensive and integrated mental health services while protecting the rights of people with mental disorders and their family members.46 However, mental health programmes in the Philippines remain poorly funded by the government. It is estimated that only 3–5% of the total health budget is spent on mental health, while 70% is spent on hospital care.47 The Philippine Statistics Authority reported that mental illness in the Philippines is the third most prevalent form of morbidity. In addition, 6 million Filipinos are estimated to live with depression and/or anxiety, making the Philippines the country with the third-highest rate of mental health problems in the Western Pacific Region.48 The scarcity of epidemiologic evidence on mental health disorders in the Philippines is evident. These estimations do not represent the numbers of Filipinos living with mental health problems as state-funded country-wide mental health screening activities and programmes are not in place.46
Background of the study
This study was conceptualised from a growing number of theoretical and empirical studies on body image perception, skin-lightening practices and the mental well-being of both men and women. The interplay of body image and skin-lightening practices is anchored on the history of racism and modern world globalisation in the contemporary context where social media dictate a hegemonised body image and skin colour, thus, affecting a person’s mental health status. However, the interaction between body image perception and skin-lightening practices among Filipino emerging adults and its overall effect on the psychological distress of emerging adults remains understudied. Therefore, inclusive and extensive research examining various factors as patterned from the Tripartite Influence Model9 concerning this burgeoning field is crucial in these social-media-induced trying times when mental health is greatly affected.
Study aims
General aim
This study aims to assess the effect of body image perception on the mental health of Filipino emerging adults as mediated by skin-lightening practices and determine the factors that influence them.
Specific aims
To describe the Filipino emerging adults’ sociodemographic characteristics, stratified by their levels of depression, anxiety and stress.
To describe the body image perception of Filipino emerging adults, stratified by their depression, anxiety and stress.
To describe the skin-lightening practices of Filipino emerging adults, including their knowledge, perception and use of SLPs, stratified by their depression, anxiety and stress.
To estimate the effect of body image perception, skin-lightening practices and levels of media exposure on levels of depression, anxiety and stress among Filipino emerging adults.
To investigate the relationships among body image perception, skin-lightening practices and the levels of depression, anxiety and stress of Filipino emerging adults by testing a structural model.
To qualitatively identify the factors that contribute to or protect Filipino emerging adults from depression, anxiety, stress, body image concerns and skin-lightening practices.
To contextualise and expound the quantitative survey data results about the effect of body image perception and skin-lightening practices on levels of depression, anxiety and stress of Filipino emerging adults using the qualitative findings.
Methods and analysis
Study design
This study will use a mixed-method approach, specifically the explanatory sequential design, to address the study’s objectives due to complex interactions among body image perception, skin-lightening practices and mental well-being and gain a comprehensive and in-depth overview of this topic.49 We expect that qualitative and quantitative methods will capture the complexity of body image concerns and skin-lightening practices.50 51 This approach will also allow us to better understand and interpret the quantitative findings using the findings from the qualitative part of the study.50 52 53 This mixed-method approach includes (1) a Quantitative Part: a cross-sectional study involving an online questionnaire among the intended study population; and (2) a Qualitative Part: a case study involving in-depth interviews of selected participants from the quantitative part of the study.
Population and sampling technique
Study population
This study will focus on Filipino emerging adults as the sample population. The inclusion and exclusion criteria are as follows:
-
Inclusion criteria
18–29 years old.
Filipino residing anywhere in the Philippines.
Male or female (sex-assigned-at birth) and all genders.
Can understand English.
Have internet access.
-
Exclusion criteria
Refused to provide a signed informed consent form.
Clinically diagnosed with depression or anxiety.
Sample size calculation, sampling technique and recruitment plan
For the online questionnaire, using the Error Function, Lower-Bound Sample Size and the Normal distribution Cumulative Distribution Function formulas for sample size calculation of structural equation models with a priori variables previously described,54 55 a total minimum sample size of 1258 Filipino emerging adults will be required. An anticipated effect size of 0.10, a desired statistical power level of 80%, three latent variables, 18 observed variables and an α-level of 0.05 were used to calculate the sample size. In addition, non-probability convenience sampling will be employed for this nationwide survey among the target study population. The study will occur from October 2022 to April 2023. The participants will be recruited using different online platforms to answer the online questionnaire voluntarily. These platforms will include the Top four social media: Facebook, Twitter, Instagram and Tiktok. In addition, there will be indicators in the questionnaire to screen for valid data, such as a time recording of the response rate and an attention checker between sections of the questionnaire.
In qualitative studies, the sample size is based on the number of participants needed to achieve concept saturation, the point in the data collection when little or no relevant information emerges, and collecting more data will not add new understandings to identified concepts.56 57 Studies showed that as few as 12 participants could be sufficient to explore shared experiences within a group,58 with 25 informants achieving 99% saturation of concepts.59 This study will use at least 25 informants as theoretical samples to investigate body image perception and skin-lightening practices. The initial 15 informants will include those that have severe/extreme levels of depression (five informants), anxiety (five informants) and stress (five informants) as measured during the quantitative survey. The remaining 10 informants will include those with no body image concerns (five informants) and those practicing skin lightening (five informants). Random sampling will be employed to select participants for the in-depth interview using the previously described criteria. In addition, to minimise selection bias, randomisation will be used for those chosen based on their outcome scores in the questionnaire (eg, extremely depressed, extremely anxious and extremely stressed informants), no body image concerns and practicing skin-lightening regimens. In addition, recruitment will be done by selecting the respondents who answered the online questionnaire. If the selected in-depth interviewees are uncontactable via the cellphone number or email address the informants provided, fail or decline to join; they will be replaced randomly by information-rich cases. Moreover, power dynamics will not be used to recruit respondents. The research objectives, methods, risks, benefits, voluntary participation, withdrawal and respondents’ rights will be discussed with the participants in the consent form before conducting the in-depth interview.
Data collection procedure
Quantitative part: cross-sectional survey
The study will involve creating and distributing a self-administered online questionnaire. The questionnaire will comprise sections of demographic data (age, sex, sexual orientation), socioeconomic status (average monthly household income, occupation, highest educational attainment, urban/rural residence), the levels of media exposure (television, movie, social media and internet), relationship status (single, in a relationship), exposure assessment (body image perception and skin-lightening practices) and outcome measurements (levels of depression, anxiety and stress). The online questionnaire will be distributed in English using the Qualtrics XM platform. All questions in the survey are forced choices. Informed consent detailing the purpose, risks, benefits, methods and other ethical considerations will be presented before the participants can answer the online questionnaire. Before online release, the questionnaire shall undergo pilot pre-testing among 20 Filipino emerging adults not involved with the study. It aims to measure total test-taking time, respondent satisfaction and understandability of questions. The survey form shall be edited according to the pilot test participants’ responses.
Exposures assessment
Body image perception will be the primary exposure, and skin-lightening practice is the mediator of this study. The concept of body image perception and skin-lightening practice will be considered latent variables in the hypothesised structural model. Three observed indicators will be used to build a measurement model around body image perception: Body Appreciation Scale (BAS-2),60 Body Esteem Scale (BES)61 and Positive Rational Acceptance Scale (PRAS).62 The BAS and BES measure how a person accepts each body feature, while PRAS assesses how a person responds to threats to these body features. Together, these three scales measure one’s positive body image perception. In addition, three observed indicators will also be used for the skin-lightening practice latent variable: Knowledge (K), Perception (P) and Use (U).
Research has already advanced the understanding of measuring body image perception, which gives a wide range of body image scales such as the BAS. BAS is a well-validated measure of positive body image. It represents intentional choices to accept body image regardless of its imperfections or size, respect the body by taking care of needs through engagement in health-seeking behaviours and safeguard the body by enduring the influence of narrow beauty standards promoted in the media.63 For each item, the following response scale will be used: 1=Never, 2=Seldom, 3=Sometimes, 4=Often and 5=Always.60 Previous research found a unidimensional factor structure, strong internal consistency (Cronbach’s α = 0.97), construct validity and test–retest reliability (r = 0.90) in community and college samples of men and women. In this study, the BAS-2 will be used, which was improved by rewording certain BAS items to remove sex-specific versions and body dissatisfaction-based language. Additional items based on positive body image research were also developed, making it a more psychometrically sound positive body image measure applicable for research.60 Additionally, the internal consistency of the BAS-2 was excellent (Cronbach’s α=0.954, McDonald’s ω=0.956).64
BES for adolescents and adults is widely used to assess cognitive and affective features of body image perception.61 BES was designed for both men and women young adults and validated among college students.65 The scale represents distinct dimensions for men and women.66 This study will employ 19 out of the original 35 BES items. The 19 items were selected to include all items about the ‘physical condition’ and ‘weight concern/upper body strength’ factors. The ‘sexual attractiveness’ items were excluded, which had the majority of ‘physical attractiveness’ items for men.67
Lastly, another well-accepted body image perception scale measures positive rational acceptance coping. PRAS has been conceptualised and designed as an adaptive affect regulation mechanism when the body is exposed to body image challenges.62 Generally, PRAS involves positive self-talk, such as reminding oneself of the transience of experiencing body image concerns in the aftermath of a threat, and is positively associated, although weakly, with more general adaptive emotional regulation strategies.68 Participants will be asked to complete an 11-item PRAS of the body image coping strategies inventory (BICSI).62 Scores on the BICSI have been shown to have adequate factorial and construct validity and internal consistency. Cronbach’s α for PRAS scores was 0.85 (95% CI: 0.83 to 0.87).62
The questionnaire on skin-lightening practices will be adapted from a previous study conducted in Southeast Asia, including Indonesia, Malaysia, Myanmar, Thailand and Vietnam.69 Knowledge of the use of SLPs will be assessed with two questions, (a) the awareness that SLPs can harm the skin; and (b) knowing the active ingredients in SLPs.27 Perceptions about a lighter skin tone and the use of SLPs will be assessed with eight items. Response options will be 1=strongly agree, 2=agree, 3=disagree, to 4=strongly disagree (Cronbach’s α=0.78). Furthermore, SLP use will be assessed with two questions: ‘Have you ever used SLPs?’ and ‘How often have you used SLPs in the past year?’ in which response options will be yes or no and will range from 0=never to 4=at least once per 3 months, respectively.70
Outcome measurements
The validated Depression Anxiety Stress Scales-21 (DASS-21) will be used to assess the psychological distress of the respondents. DASS-21 was developed to measure the emotional states of depression, anxiety and stress.71 DASS-21 has been previously used in American,72 European73 and Asian74–78 populations. DASS-21 contains three subscales with seven items each to measure levels of depression, anxiety and stress. DASS-21 scores will be calculated based on previous studies.79–81 The total score will be summed up in which higher scores indicate more negative experiences in the past week. For descriptive analysis, the total depression subscale will be divided into normal (0–9), mild depression (10–12), moderate depression (13–20), severe depression (21–27) and extremely severe depression symptoms (28–42). In addition, the total anxiety subscale score will be divided into normal (0–6), mild anxiety (7–9), moderate anxiety (10–14), severe anxiety (15–19) and extremely severe anxiety symptoms (20–42). Moreover, the total stress subscale score will be divided into normal (0–10), mild stress (11–18), moderate stress (19–26), severe stress (27–34) and extremely severe stress (35–42).82
Sociodemographic variables and levels of media exposure
Based on previous literatures, the sociodemographic variables will be ascertained and selected a priori. These variables include age,83–87 sex at birth,88–90 sexual orientation,91–93 household income,90 94 working status,90 95 highest educational attainment,90 95 relationship status96 97 and type of residence.98 99
Additionally, the level of media exposure will also be ascertained using a questionnaire adapted from a study done in the Philippines with a few modifications.100 The instrument will include questions on the influence of movies, television, the internet and social media platforms on the participants’ body image perception and skin-lightening practices. Some examples of the questions included in this section are: ‘I watch more than nine movies in a month’, ‘I immediately try any new product that I saw in a commercial’, ‘I feel handsome or beautiful when my solo picture gets a lot of likes or comments’ and ‘I compare my appearance with the photos of my Facebook friends, Instagram/Twitter mutuals, TikTok videos and other photo posts on social media’. Questions will be answered as never, sometimes, often and always.
Qualitative part: case study
Concept notes will be developed focusing on the extraneous factors affecting the participants’ body image perception, skin-lightening practices and psychological distress. Some salient topics will include current stressors (eg, personal, familial, social), emotional reactions to these stressors and facilitators that enable the participants to achieve their current motivations to modify their bodies and/or lighten their skin.
The researchers will facilitate the in-depth face-to-face interview or via various online video conferencing software such as Google Meet, Skype or Zoom. All the in-depth interviews will be recorded and transcribed for analysis. Online supplemental file 1 shows the in-depth interview guide and discussion questions.
bmjopen-2022-068561supp001.pdf (98.5KB, pdf)
Data processing and analysis
Quantitative part: cross-sectional survey
Descriptive statistics will be calculated and presented in frequencies and percentages for categorical variables and mean, SD and range for continuous variables to answer Specific Aim Nos. 1–3. Differences in the sociodemographic characteristics between participants will be assessed using t-tests (for continuous variables) and χ2 or Fisher’s exact tests (for categorical variables). In addition, effect estimates will be calculated to assess the relations among body image perception, skin-lightening practices, mental health status, levels of media exposure and sociodemographic variables to answer Specific Aim No. 4. Moreover, associations between exposures (body image perception and/or skin-lightening practices) and mental health status will be estimated using generalised linear models. Depending on how common the mental health outcomes are, generalised linear models with either a Poisson distribution and log link function with a robust variance estimator or a binomial distribution and logit link function will be used to estimate either the crude and adjusted prevalence ratios (PRs) or crude and adjusted odds ratios (ORs) with 95% CI, respectively.101–104 All regression analyses will be done in R software, and p values ≤0.05 will be considered statistically significant.
For Specific Aim No. 5, proposed structural and measurement models will be used based on the literature review (figure 1). The specified model was built from reviewing previous literature on body image perception and skin-lightening practices regarding their expected relationships among the key constructs and health outcomes. Structural equation modelling (SEM) will be used to estimate and test the direct and indirect effects of the latent exposure variables (body image perception and skin-lightening practices) on the latent mental health status variable. This study will focus on the structural and measurement models.
Figure 1.
Structural model for the exposure, mediator and outcome variables. A, anxiety; BA, body appreciation; BE, body esteem; D, depression; EA, education attainment; HI, household income; K, knowledge; P, perception; PRA, positive rational acceptance; R, type of residence; RS, relationship status; S, stress; SO, sexual orientation; U, use; WS, working status.
The responses in the structural model in figure 1 are specified as ordered categorical (ordinal) variables. The default estimator for responses such as these is a robust weighted least squares estimator.105 This estimation specifies a series of probit regression equations for each factor indicator on the related factor. The distribution of all observed variables will be specified in the estimation procedure. All specified models will be estimated using traditional Maximum Likelihood Estimation (MLE) and Bayesian estimation. In the MLE specification, variances of the factors will be assumed to be standard normally distributed, that is, with a variance of 1 and a mean of 0. The MLE method estimates parameters and their SE and fit indices using a normal distribution for all parameter models based on an elements matrix derived from the asymptotic variances of the thresholds and latent correlation estimates.106 107 Results will be presented as standardised loadings, interpreted as probit regression coefficients.105 All analyses will be done in R software.
Qualitative part: case study
This part of the data analysis will answer Specific Aim No. 6. One researcher will transcribe the interview, while two other researchers will validate the transcription by checking the transcript vis-à-vis the interview recordings. After transcribing the interviews, the data transcripts will be analysed using NVivo 1.6.2 software108 by three research team members independently using the inductive logic approach in thematic analysis: familiarising with the data, generating initial codes, searching for themes, reviewing the themes, defining and naming the themes and producing the report.109
Data familiarisation will consist of reading and re-reading the data while noting initial ideas. Additionally, coding interesting features of the data will follow systematically across the entire dataset while collating data relevant to each code. Moreover, the open coding of the data will be performed to describe the data into concepts and themes, which will be further categorised to identify distinct concepts and themes.110
Data analysis of the interviews will be carried out according to the steps described by previous literature using a coding technique wherein the early data analysis is a critical step in the overall interpretation of the case studies.111 The researchers will begin by coding each line of each participant’s transcript. Similar codes will then be grouped to form subcategories, and within these subcategories, categories will be identified. The primary researcher will then group the categories to develop a theory related to key informants’ experiences of body image perception, skin-lightening practices and mental health status. The data collection process will continue until each category is saturated and no new data emerges.
There will be comparisons and contrasts of the analyses conducted to develop a thematic map as discussed by the three researchers. The final thematic map of the analysis will be generated after checking if the identified themes work in relation to the extracts and the entire dataset. In addition, the selection of clear, persuasive extract examples that connect the analysis to the research question and literature will be reviewed before producing a scholarly report on the investigation. Additionally, the themes and sub-themes generated will be assessed and discussed in relevance to the study’s objectives. Furthermore, gathering and analysing the data will continue until saturation is reached. Finally, pseudonyms will be used to present quotes from the qualitative data.
Data integration from quantitative and qualitative findings
Specific Aim No. 7 will be answered using a contiguous narrative approach. It will be implemented to report and integrate the mixed-method results, reporting results of the quantitative strand followed by results of the qualitative strand in different subsections. Data triangulation will integrate the two separate data sources by examining the various aspects of the research and comparing them for convergence. Qualitative and quantitative data integration at the interpretation and reporting level will occur through joint displays.112 113 When integrating through joint displays, the researchers will bring the data together visually to draw out new insights beyond the information gained from the different quantitative and qualitative results. This integration can occur through organising related data in a figure, table, matrix or graph.114–116 Two researchers will be involved in the quantitative and qualitative data triangulation. Should there be disagreements, again the primary researcher together with the multidisciplinary research team will resolve the issue. Figure 2 shows the study’s implementation matrix of the explanatory sequential design.
Figure 2.
Implementation matrix for the proposed explanatory sequential mixed-method study.
Data management plan
The primary researcher will be responsible for overall quality assurance undertaking specific activities to ensure quality control. Quality will be assured through routine monitoring of data collection procedures and periodic cross-checks against the approved protocol. Transcribed interviews and the online questionnaire will be used to record data for each participant in the study. The primary researcher will ensure the data’s accuracy, completeness, legibility and timeliness. Data captured from the online questionnaire or in-depth interviews should be consistent, clarified and corrected.
Handling missing data
All responses in the questionnaire using the Qualtrics XM will be forced. In self-report measures, data can be missing at either the item or variable level. Item level missingness occurs when subjects omit one or more items within a multi-item instrument that measures an abstract concept or variable. Variable level missingness occurs when all items on a multi-item instrument are missing. The survey forms with missing data for any variables used in the analysis will be removed. Rough guidelines for this approach suggest that if less than 10% of study participants have missing data for one or more of the analysis variables, the study results should not be significantly affected.117 118 Multiple imputations will be used to analyse incomplete or missing data. If more than 40% of observations have missing values, then variables with the most missing values should be removed from the analyses.117 118
Participant and public involvement statement
The participants and the public were not involved in the design and implementation of the protocol.
Ethical considerations and disseminations
Ethical considerations
The study shall abide by the Principles of the Declaration of Helsinki (2013). It will be conducted along with the Guidelines of the International Conference on Harmonization-Good Clinical Practice (ICH-GCP), E6 (R2) and other ICH-GCP 6 (as amended); Philippine National Ethical Guidelines for Health and Health-Related Research (NEGHHRR) of 2017. Furthermore, this study protocol was granted ethical clearance from the University of the Philippines Manila Research Ethics Board (UPMREB 2022-0407-01).
All digital data will be stored in a cloud drive accessible only to the researchers. In addition, subject confidentiality will be upheld by assigning control numbers and not requiring participants to divulge their name, address and other identifying factors unnecessary for analysis. After the study, the personal data gathered from the participants will be deleted from the system and will be wiped out from the cloud drive where the data is stored. Participants may access the study results on sending a considerable request to the primary researcher. The data provided in this informed consent form are all valid during the duration of the study, which is 6 months but will be stored for up to 3 years.
Dissemination
The results will be disseminated through conference presentations, peer-reviewed journals and stakeholder activities.
Discussion
The need to demonstrate more evidence
The topic of mental health has received a remarkable increase in global attention. Over time, trends showed an increasing number of people suffering from mental health disorders.119–121 The worldwide rise in the incidence of mental health disorders prompted researchers to investigate more on this phenomenon. Growing evidence suggests that a positive body image is connected to improved social, psychological and emotional health, including physical health.122–125 Reports have also suggested an association between a pattern of better mental health status and using SLPs.19 126 127
The explanation speculated behind the determinants of skin-lightening practices suggests that symptoms of good mental health are linked with deficits in self-esteem or body image.19 Many people in some populations are now more likely than ever to lighten their skin to fit into society’s definition of beauty.128 People who use SLPs feel like they belong in a community where beauty standards must be accepted.129 In addition, using SLPs may also be viewed as a coping mechanism for some people.69 130 131 The biological and psychosocial phenomenon of skin lightening involves the observed interaction among three essential factors: motivation to engage in skin lightening, the different practices of skin lightening and its related effects and the prevention and treatment processes.132
Little is known, however, about the interaction of various factors relating to body image concerns and skin-lightening practices and their effect on mental health status. In the Philippines, this emerging scientific field of research is not fully explored. For example, previous local studies only dealt with body image and mental health,100 133–136 or skin-lightening practices,137 138 but not the combination. Furthermore, these local studies on body image and mental health mainly tackled body dissatisfaction and depression,100 133–136 contrary to our study which will deal with positive body image. In addition, local studies on skin-lightening practices specifically discussed how colonialism affected how Filipinos think about skin colour.137 138
The link between body image perception, skin-lightening practices and the mental health status of Filipino emerging adults is not fully understood. This study will explore other factors contributing to the prevalence of mental health disorders brought about by the overall interaction, direct and indirect effects of body image perception and skin-lightening practices.
Study significance
This study focuses on the overall interplay of body image perception and skin-lightening practices and their effect on the mental health status of Filipino emerging adults. On an individual level, this study may increase the awareness of Filipino emerging adults as to the effect of body image perception and skin-lightening practices on their mental health status. Furthermore, this study may help them understand how the interplay of body image perception and skin-lightening practices and their effects on mental health status is affected by various factors culturally sensitive to Filipinos. On a societal level, explicit action is needed to build and promote positive body image perception to support reasonable mental health concerns. This study could be a first step toward providing evidence on effectively regulating body image concerns and practicing safe skin-lightening practices. In addition, the results of this study may give the Education Department at secondary and tertiary levels the foundation and basis to include and promote positive body image perception, safe skin-lightening practices and mental health status in their current curricula. Furthermore, the Education Department may include it through the inculcation of body and skin tone diversity in the early education learning stages of the students.
Study limitations
This study is only limited to Filipino emerging adults residing in the Philippines. In addition, it may also be limited to the study population with internet access since the questionnaire will be available online. Therefore, this study may not capture the intended study population who do not have access to the internet.
Supplementary Material
Acknowledgments
The authors would like to thank Dr Margaret Gamalo for her valuable technical inputs, support and guidance in the development of this protocol. Her contributions enhanced the scientific vigour of this protocol. In addition, Mr Regencia would like to thank the Accelerated Science and Technology Human Resource Development Program (ASTHRDP) of the Department of Science and Technology - Science Education Institute (DOST-SEI) for the scholarship grant provided.
Footnotes
Collaborators: Dr Margaret Gamalo (Executive Director - Biostatistics Global Product Development, I&I Statistics Global Biometrics & Data Management, Pfizer Innovative Health)
Contributors: All persons listed as authors have met the International Committee of Medical Journal Editors (ICMJE) authorship criteria. All authors have made significant contributions and revisions to the final manuscript and have provided complete consent for publication. Each author is responsible for the content and has read and approved the final manuscript. No author has any conflict of interest and/or disclosure to state for this manuscript. This includes financial, institutional, consultant and other relationships. ZJGR conceived the study with guidance from ESB. ZJGR conceptualised and designed the protocol. ESB, MAJL, J-PG and JCM contributed to the introduction, methods and analysis, strengths and limitations and discussion. All authors reviewed and approved the manuscript.
Funding: The Department of Science and Technology will fund the project under a scholarship grant from the Accelerated Science and Technology Human Resource Development Program of the Science Education Institute.
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Ethics statements
Patient consent for publication
Not applicable.
References
- 1.Arnett JJ. Emerging adulthood. A theory of development from the late teens through the twenties. Am Psychol 2000;55:469–80. [PubMed] [Google Scholar]
- 2.Arnett JJ, Žukauskienė R, Sugimura K. The new life stage of emerging adulthood at ages 18-29 years: implications for mental health. Lancet Psychiatry 2014;1:569–76. 10.1016/S2215-0366(14)00080-7 [DOI] [PubMed] [Google Scholar]
- 3.Frisén A, Holmqvist K. Physical, sociocultural, and behavioral factors associated with body-esteem in 16-year-old Swedish boys and girls. Sex Roles 2010;63:373–85. 10.1007/s11199-010-9806-2 [DOI] [Google Scholar]
- 4.Natsuaki MN, Samuels D, Leve LD. Puberty, identity, and context: a biopsychosocial perspective on internalizing psychopathology in early adolescent girls; 2015.
- 5.Jackson KL, Janssen I, Appelhans BM, et al. Body image satisfaction and depression in midlife women: the study of women’s health across the nation (Swan). Arch Womens Ment Health 2014;17:177–87. 10.1007/s00737-014-0416-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Goldschmidt AB, Wall M, Choo T-HJ, et al. Shared risk factors for mood-, eating-, and weight-related health outcomes. Health Psychol 2016;35:245–52. 10.1037/hea0000283 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Gavin AR, Simon GE, Ludman EJ. The association between obesity, depression, and educational attainment in women: the mediating role of body image dissatisfaction. J Psychosom Res 2010;69:573–81. 10.1016/j.jpsychores.2010.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Griffiths S, Hay P, Mitchison D, et al. Sex differences in the relationships between body dissatisfaction, quality of life and psychological distress. Aust N Z J Public Health 2016;40:518–22. 10.1111/1753-6405.12538 [DOI] [PubMed] [Google Scholar]
- 9.Thompson JK, Heinberg LJ, Altabe M, et al. Exacting beauty: Theory, assessment, and treatment of body image disturbance. American Psychological Association, 1999. 10.1037/10312-000 [DOI] [Google Scholar]
- 10.Thompson JK, Stice E. Thin-ideal internalization: mounting evidence for a new risk factor for body-image disturbance and eating pathology. Curr Dir Psychol Sci 2001;10:181–3. 10.1111/1467-8721.00144 [DOI] [Google Scholar]
- 11.Kayano M, Yoshiuchi K, Al-Adawi S, et al. Eating attitudes and body dissatisfaction in adolescents: cross-cultural study. Psychiatry Clin Neurosci 2008;62:17–25. 10.1111/j.1440-1819.2007.01772.x [DOI] [PubMed] [Google Scholar]
- 12.Rieger E, Touyz SW, Swain T, et al. Cross-cultural research on anorexia nervosa: assumptions regarding the role of body weight. Int J Eat Disord 2001;29:205–15. [DOI] [PubMed] [Google Scholar]
- 13.Tareen A, Hodes M, Rangel L. Non-fat-phobic anorexia nervosa in British South Asian adolescents. Int J Eat Disord 2005;37:161–5. 10.1002/eat.20080 [DOI] [PubMed] [Google Scholar]
- 14.Swami V, Henry A, Peacock N, et al. "Mirror, mirror…." a preliminary investigation of skin tone dissatisfaction and its impact among British adults. Cultur Divers Ethnic Minor Psychol 2013;19:468–76. 10.1037/a0032904 [DOI] [PubMed] [Google Scholar]
- 15.Nayir T, Uskun E, Yürekli MV, et al. Does body image affect quality of life?: a population based study. PLoS One 2016;11:e0163290. 10.1371/journal.pone.0163290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Marta-Simões J, Ferreira C, Mendes AL. Exploring the effect of external shame on body appreciation among Portuguese young adults: the role of self-compassion. Eat Behav 2016;23:174–9. 10.1016/j.eatbeh.2016.10.006 [DOI] [PubMed] [Google Scholar]
- 17.Coyne SM, Davis EJ, Warburton W, et al. Mirror, mirror on the wall: the effect of listening to body positive music on implicit and explicit body Esteem. Psychology of Popular Media 2021;10:2–13. 10.1037/ppm0000273 [DOI] [Google Scholar]
- 18.Sagoe D, Pallesen S, Dlova NC, et al. The global prevalence and correlates of skin bleaching: a meta-analysis and meta-regression analysis. Int J Dermatol 2019;58:24–44. 10.1111/ijd.14052 [DOI] [PubMed] [Google Scholar]
- 19.Gwaravanda ET. Shona proverbial implications on skin bleaching: some philosophical insights. J Pan Afr Stud 2011;4:201. Available: https://www.jpanafrican.org/docs/vol4no4/Shona%20Proverbial%20Implications%20on%20Skin%20Bleaching.pdf [Google Scholar]
- 20.Ahmed AE, Hamid ME. Use of skin-whitening products by Sudanese undergraduate females: a survey. J Racial Ethn Health Disparities 2017;4:149–55. 10.1007/s40615-016-0212-5 [DOI] [PubMed] [Google Scholar]
- 21.Lartey M, Krampa FD, Abdul-Rahman M, et al. Use of skin-lightening products among selected urban communities in Accra, Ghana. Int J Dermatol 2017;56:32–9. 10.1111/ijd.13449 [DOI] [PubMed] [Google Scholar]
- 22.Blay YA. Skin bleaching and global white supremacy: by way of introduction. J Pan Afr Stud 2011;4:4–46. Available: http://jpanafrican.org/docs/vol4no4/Skin%20Bleaching%20and%20White%20Supremacy.pdf [Google Scholar]
- 23.Kpanake L, Mullet E. Motives for skin bleaching among West Africans. H&PC Today 2011;6:6–9. [Google Scholar]
- 24.Charles CAD. Skin bleaching and the prestige complexion of sexual attraction. Sex Cult 2011;15:375–90. 10.1007/s12119-011-9107-0 [DOI] [Google Scholar]
- 25.Lewis KM, Robkin N, Gaska K, et al. Investigating motivations for women’s skin bleaching in Tanzania. Psychol Women Q 2011;35:29–37. 10.1177/0361684310392356 [DOI] [Google Scholar]
- 26.Rusmadi SZ, Syed Ismail SN, Praveena SM. Preliminary study on the skin lightening practice and health symptoms among female students in Malaysia. J Environ Public Health 2015;2015:591790. 10.1155/2015/591790 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hamed SH, Tayyem R, Nimer N, et al. Skin-lightening practice among women living in Jordan: prevalence, determinants, and user’s awareness. Int J Dermatol 2010;49:414–20. 10.1111/j.1365-4632.2010.04463.x [DOI] [PubMed] [Google Scholar]
- 28.Dlova NC, Hendricks NE, Martincgh BS. Skin-lightening creams used in Durban, South Africa. Int J Dermatol 2012;51 Suppl 1:51–3. 10.1111/j.1365-4632.2012.05566.x [DOI] [PubMed] [Google Scholar]
- 29.Charles CAD, McLean S-K. Body image disturbance and skin bleaching. Br J Psychol 2017;108:783–96. 10.1111/bjop.12241 [DOI] [PubMed] [Google Scholar]
- 30.Al-Sarraf A, Bewley A, De Luca I, et al. Image enhancing drugs: a narrative review on the motivational risk factors influencing skin lightening use. Emerging Trends in Drugs, Addictions, and Health 2021;1:100009. 10.1016/j.etdah.2021.100009 [DOI] [Google Scholar]
- 31.James C, Seixas AA, Harrison A. Childhood physical and sexual abuse in Caribbean young adults and its association with depression, post-traumatic stress, and skin bleaching. J Depress Anxiety 2016;05. 10.4172/2167-1044.1000214 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Thompson MS, Keith VM. The blacker the berry: gender, skin tone, self-esteem, and self-efficacy. Gend Soc 2001;15:336–57. 10.1177/089124301015003002 [DOI] [Google Scholar]
- 33.Buchanan TS, Fischer AR, Tokar DM, et al. Testing a culture-specific extension of objectification theory regarding African American women’s body image. Couns Psychol 2008;36:697–718. 10.1177/0011000008316322 [DOI] [Google Scholar]
- 34.Sahay S, Piran N. Skin-color preferences and body satisfaction among South Asian-Canadian and European-Canadian female university students. J Soc Psychol 1997;137:161–71. 10.1080/00224549709595427 [DOI] [PubMed] [Google Scholar]
- 35.Buhlmann U, Marques LM, Wilhelm S. Traumatic experiences in individuals with body dysmorphic disorder. J Nerv Ment Dis 2012;200:95–8. 10.1097/NMD.0b013e31823f6775 [DOI] [PubMed] [Google Scholar]
- 36.Singson F. Colonialism’s role in the success of the Filipino skin whitening industry; 2017.
- 37.Lasco G, Hardon AP. Keeping up with the times: skin-lightening practices among young men in the Philippines. Cult Health Sex 2020;22:838–53. 10.1080/13691058.2019.1671495 [DOI] [PubMed] [Google Scholar]
- 38.Geusens F, Bigman-Galimore CA, Beullens K. Identifying at-risk youth: the moderating role of sensation seeking, sensitivity to peer pressure and self-control in the relation between sharing alcohol references on social media and drinking intentions. EJHC 2020;1:7–29. 10.47368/ejhc.2020.002 [DOI] [Google Scholar]
- 39.Hartas D. The social context of adolescent mental health and wellbeing: parents, friends and social media. Res Pap Educ 2021;36:542–60. 10.1080/02671522.2019.1697734 [DOI] [Google Scholar]
- 40.Gurari I, Hetts JJ, Strube MJ. Beauty in the "I" of the beholder: effects of idealized media portrayals on implicit self-image. Basic Appl Soc Psych 2006;28:273–82. 10.1207/s15324834basp2803_6 [DOI] [Google Scholar]
- 41.Bettache K. A call to action: the need for a cultural psychological approach to discrimination on the basis of skin color in Asia. Perspect Psychol Sci 2020;15:1131–9. 10.1177/1745691620904740 [DOI] [PubMed] [Google Scholar]
- 42.Mady S, Biswas D, Dadzie CA, et al. "A whiter shade of pale": whiteness, female beauty Standards, and ethical engagement across three cultures. J Int Mark 2023;31:69–89. 10.1177/1069031X221112642 [DOI] [Google Scholar]
- 43.Glenn EN. Yearning for lightness: transnational circuits in the marketing and consumption of skin lighteners. Gend Soc 2008;22:281–302. 10.1177/0891243208316089 [DOI] [Google Scholar]
- 44.Mahsan IP, Harun MF, Zulkefli MY, et al. Visual communication on social media advertisement that influence consumer buying behavior on skin-whitening product. Kupas Seni 2020;8:11–9. 10.37134/kupasseni.vol8.1.2.2020 [DOI] [Google Scholar]
- 45.Dukut E. Archiving local culture through transnational popular culture research. In: Innovation on Education and Social Sciences. Routledge, 2022: 197–200. [Google Scholar]
- 46.Lally J, Samaniego RM, Tully J. Mental health legislation in the Philippines: Philippine mental health act. BJPsych Int 2019;16:65–7. 10.1192/bji.2018.33 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Maravilla N, Tan MJT. Philippine mental health act: just an act? A call to look into the bi-directionality of mental health and economy. Front Psychol 2021;12:706483. 10.3389/fpsyg.2021.706483 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Redaniel MT, Lebanan-Dalida MA, Gunnell D. Suicide in the Philippines: time trend analysis (1974-2005) and literature review. BMC Public Health 2011;11:536. 10.1186/1471-2458-11-536 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Creswell JW, Tashakkori A. Developing publishable mixed methods manuscripts. Los Angeles, CA: Sage Publications; 2007. 107–11. [Google Scholar]
- 50.Granikov V, Hong QN, Crist E, et al. Mixed methods research in library and information science: a methodological review. Libr Inf Sci Res 2020;42:101003. 10.1016/j.lisr.2020.101003 [DOI] [Google Scholar]
- 51.Nagpal D, Kornerup I, Gibson MP. Mixed-method research: a basic understanding. CODS Journal of Dentistry 2021;12:11–6. 10.5005/jp-journals-10063-0065 [DOI] [Google Scholar]
- 52.Tashakkori A, Johnson RB, Teddlie C. Foundations of mixed methods research: integrating quantitative and qualitative approaches in the social and behavioral sciences. Sage publications; 2020. [Google Scholar]
- 53.Frost N, Bailey-Rodriguez D. Doing qualitatively driven mixed methods and pluralistic qualitative research. In: Enjoying research in counselling and psychotherapy. Springer, 2020: 137–60. [Google Scholar]
- 54.Cohen J. Statistical power analysis for the behavioral sciences. Academic press, 2013. [Google Scholar]
- 55.Christopher Westland J. Lower bounds on sample size in structural equation modeling. Electron Commer Res Appl 2010;9:476–87. 10.1016/j.elerap.2010.07.003 [DOI] [Google Scholar]
- 56.Glaser BG. Doing formal theory. In: The Sage handbook of grounded theory. 2007: 97–113. [Google Scholar]
- 57.Patrick DL, Burke LB, Gwaltney CJ, et al. Content validity—establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR pro good research practices Task force report: part 2—assessing respondent understanding. Value Health 2011;14:978–88. 10.1016/j.jval.2011.06.013 [DOI] [PubMed] [Google Scholar]
- 58.Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Methods 2006;18:59–82. 10.1177/1525822X05279903 [DOI] [Google Scholar]
- 59.Turner-Bowker DM, Lamoureux RE, Stokes J, et al. Informing a priori sample size estimation in qualitative concept elicitation interview studies for clinical outcome assessment instrument development. Value Health 2018;21:839–42. 10.1016/j.jval.2017.11.014 [DOI] [PubMed] [Google Scholar]
- 60.Tylka TL, Wood-Barcalow NL. The body appreciation scale-2: item refinement and psychometric evaluation. Body Image 2015;12:53–67. 10.1016/j.bodyim.2014.09.006 [DOI] [PubMed] [Google Scholar]
- 61.Mendelson BK, Mendelson MJ, White DR. Body-esteem scale for adolescents and adults. J Pers Assess 2001;76:90–106. 10.1207/S15327752JPA7601_6 [DOI] [PubMed] [Google Scholar]
- 62.Cash TF, Santos MT, Williams EF. Coping with body-image threats and challenges: validation of the body image coping strategies inventory. J Psychosom Res 2005;58:190–9. 10.1016/j.jpsychores.2004.07.008 [DOI] [PubMed] [Google Scholar]
- 63.Cash TF. The body image workbook: an 8-step program for learning to like your looks. New Harbinger Publications, Inc, 1997. [Google Scholar]
- 64.Atari M. Factor structure and psychometric properties of the body appreciation scale-2 in Iran. Body Image 2016;18:1–4. 10.1016/j.bodyim.2016.04.006 [DOI] [PubMed] [Google Scholar]
- 65.Franzoi SL, Shields SA. The body Esteem scale: multidimensional structure and sex differences in a College population. J Pers Assess 1984;48:173–8. 10.1207/s15327752jpa4802_12 [DOI] [PubMed] [Google Scholar]
- 66.Piñeiro B, Correa JB, Simmons VN, et al. Gender differences in use and expectancies of e-cigarettes: online survey results. Addict Behav 2016;52:91–7. 10.1016/j.addbeh.2015.09.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Sagone E, De Caroli ME, Indiana ML. Psychological well-being and self-efficacy in life skills among Italian preadolescents with positive body Esteem: preliminary results of an intervention project. PSYCH 2018;09:1383–96. 10.4236/psych.2018.96084 [DOI] [Google Scholar]
- 68.Hughes EK, Gullone E. Emotion regulation moderates relationships between body image concerns and psychological symptomatology. Body Image 2011;8:224–31. 10.1016/j.bodyim.2011.04.001 [DOI] [PubMed] [Google Scholar]
- 69.Peltzer K, Pengpid S. Knowledge about, attitude toward, and practice of skin lightening products use and its social correlates among university students in five association of Southeast Asian nations (ASEAN) countries. Int J Dermatol 2017;56:277–83. 10.1111/ijd.13518 [DOI] [PubMed] [Google Scholar]
- 70.Peltzer K, Pengpid S, James C. The globalization of whitening: prevalence of skin lighteners (or bleachers) use and its social correlates among university students in 26 countries. Int J Dermatol 2016;55:165–72. 10.1111/ijd.12860 [DOI] [PubMed] [Google Scholar]
- 71.Osman A, Wong JL, Bagge CL, et al. The depression anxiety stress scales-21 (DASS-21): further examination of dimensions, scale reliability, and correlates. J Clin Psychol 2012;68:1322–38. 10.1002/jclp.21908 [DOI] [PubMed] [Google Scholar]
- 72.Norton PJ. Depression anxiety and stress scales (DASS-21): psychometric analysis across four racial groups. Anxiety Stress Coping 2007;20:253–65. 10.1080/10615800701309279 [DOI] [PubMed] [Google Scholar]
- 73.González-Cabrera J, Tourón J, Machimbarrena JM, et al. Cyberbullying in gifted students: prevalence and psychological well-being in a Spanish sample. Int J Environ Res Public Health 2019;16:2173. 10.3390/ijerph16122173 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Cheung T, Wong S, Wong K, et al. Depression, anxiety and symptoms of stress among baccalaureate nursing students in Hong Kong: a cross-sectional study. IJERPH 2016;13:779. 10.3390/ijerph13080779 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Ho CS, Tan EL, Ho RC, et al. Relationship of anxiety and depression with respiratory symptoms: comparison between depressed and non-depressed smokers in Singapore. IJERPH 2019;16:163. 10.3390/ijerph16010163 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Quek TC, Ho CS, Choo CC, et al. Misophonia in singaporean psychiatric patients: a cross-sectional study. Int J Environ Res Public Health 2018;15:1410. 10.3390/ijerph15071410 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Tee ML, Tee CA, Anlacan JP, et al. Psychological impact of COVID-19 pandemic in the Philippines. J Affect Disord 2020;277:379–91. 10.1016/j.jad.2020.08.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Lim LTS, Regencia ZJG, Dela Cruz JRC, et al. Assessing the effect of the COVID-19 pandemic, shift to online learning, and social media use on the mental health of college students in the Philippines: a mixed-method study protocol. PLoS One 2022;17:e0267555. 10.1371/journal.pone.0267555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Wang C, Pan R, Wan X, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. IJERPH 2020;17:1729. 10.3390/ijerph17051729 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Wang C, Pan R, Wan X, et al. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav Immun 2020;87:40–8. 10.1016/j.bbi.2020.04.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Lovibond SH, Lovibond PF. Depression anxiety and stress scales (DASS); 2013. [DOI] [PubMed]
- 82.Oei TPS, Sawang S, Goh YW, et al. Using the depression anxiety stress scale 21 (DASS-21) across cultures. Int J Psychol 2013;48:1018–29. 10.1080/00207594.2012.755535 [DOI] [PubMed] [Google Scholar]
- 83.Rodgers RF, Franko DL, Donovan E, et al. Body image in emerging adults: the protective role of self-compassion. Body Image 2017;22:148–55. 10.1016/j.bodyim.2017.07.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Shagar PS, Harris N, Boddy J, et al. The relationship between body image concerns and weight-related behaviours of adolescents and emerging adults: a systematic review. Behav Change 2017;34:208–52. 10.1017/bec.2018.3 [DOI] [Google Scholar]
- 85.Aimé A, Fuller-Tyszkiewicz M, Dion J, et al. Assessing positive body image, body satisfaction, weight bias, and appearance comparison in emerging adults: a cross-validation study across eight countries. Body Image 2020;35:320–32. 10.1016/j.bodyim.2020.09.014 [DOI] [PubMed] [Google Scholar]
- 86.Kaur N, Sulaiman SS, Hamid HA, et al. The extent of media influence on the body image of Malaysian emerging adults. Int J Asian Soc Sci 2022;12:43–54. 10.18488/5007.v12i1.4408 [DOI] [Google Scholar]
- 87.Ramesh J. Study on Society’s influence on women’s portrayal in the Indian media with special reference to advertising and movies; 2019.
- 88.Sohn SH. Sex differences in social comparison and comparison motives in body image process. N Am J Psychol 2010;12. [Google Scholar]
- 89.Peters MA, Phelps L. Body image dissatisfaction and distortion, steroid use, and sex differences in college age bodybuilders. Psychol Schs 2001;38:283–9. 10.1002/pits.1018 [DOI] [Google Scholar]
- 90.Ramos P, Moreno-Maldonado C, Moreno C, et al. The role of body image in internalizing mental health problems in Spanish adolescents: an analysis according to sex, age, and socioeconomic status. Front Psychol 2019;10:1952. 10.3389/fpsyg.2019.01952 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Frederick DA, Essayli JH. Male body image: the roles of sexual orientation and body mass index across five national U.S. studies. Psychol Men Masc 2016;17:336–51. 10.1037/men0000031 [DOI] [Google Scholar]
- 92.Boroughs M, Thompson JK. Exercise status and sexual orientation as moderators of body image disturbance and eating disorders in males. Int J Eat Disord 2002;31:307–11. 10.1002/eat.10031 [DOI] [PubMed] [Google Scholar]
- 93.Tsunokai GT, Kposowa AJ, Carroll E, et al. The color continuum: skin tone and online dating preferences among Asian Americans. J Soc Pers Relatsh 2019;36:4027–47. 10.1177/0265407519847772 [DOI] [Google Scholar]
- 94.Masub N, Khachemoune A. Cosmetic skin lightening use and side effects. J Dermatolog Treat 2022;33:1287–92. 10.1080/09546634.2020.1845597 [DOI] [PubMed] [Google Scholar]
- 95.Mahé A, Perret JL, Ly F, et al. The cosmetic use of skin-lightening products during pregnancy in Dakar, Senegal: a common and potentially hazardous practice. Trans R Soc Trop Med Hyg 2007;101:183–7. 10.1016/j.trstmh.2006.06.007 [DOI] [PubMed] [Google Scholar]
- 96.Olatunji O, Popoola O, Ayandele O. Media influence on skin bleaching tendency among female students of the polytechnic, Ibadan, Nigeria. Int J Commun 2019;25. [Google Scholar]
- 97.Lehmann V, Hagedoorn M, Gerhardt CA, et al. Body issues, sexual satisfaction, and relationship status satisfaction in long-term childhood cancer survivors and healthy controls. Psychooncology 2016;25:210–6. 10.1002/pon.3841 [DOI] [PubMed] [Google Scholar]
- 98.Prioreschi A, Wrottesley SV, Cohen E, et al. Examining the relationships between body image, eating attitudes, BMI, and physical activity in rural and urban South African young adult females using structural equation modeling. PLoS One 2017;12:e0187508. 10.1371/journal.pone.0187508 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.An J, Zhou K, Li M, et al. Assessing the relationship between body image and quality of life among rural and urban breast cancer survivors in China. BMC Women’s Health 2022;22:1–10. 10.1186/s12905-022-01635-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Javellana GM. Influence of media on body image satisfaction among adolescents. Asia Pacific Journal of Education, Arts and Sciences 2014;1:95–101. [Google Scholar]
- 101.McNutt L-A, Wu C, Xue X, et al. Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol 2003;157:940–3. 10.1093/aje/kwg074 [DOI] [PubMed] [Google Scholar]
- 102.Spiegelman D, Hertzmark E. Easy SAS calculations for risk or prevalence ratios and differences. Am J Epidemiol 2005;162:199–200. 10.1093/aje/kwi188 [DOI] [PubMed] [Google Scholar]
- 103.Tamhane AR, Westfall AO, Burkholder GA, et al. Prevalence odds ratio versus prevalence ratio: choice comes with consequences. Stat Med 2016;35:5730–5. 10.1002/sim.7059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol 2004;159:702–6. 10.1093/aje/kwh090 [DOI] [PubMed] [Google Scholar]
- 105.Muthén B. Bayesian analysis in Mplus: A brief introduction: Citeseer, 2010. [Google Scholar]
- 106.Flora DB, Curran PJ. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychol Methods 2004;9:466–91. 10.1037/1082-989X.9.4.466 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Rahmadita A, Yanuar F, Devianto D. The construction of patient Loyalty model using Bayesian structural equation modeling approach. CAUCHY 2018;5:73–9. 10.18860/ca.v5i2.5039 [DOI] [Google Scholar]
- 108.AlYahmady HH, Al Abri SS. Using NVivo for data analysis in qualitative research. IIJE 2013;2:181–6. 10.12816/0002914 [DOI] [Google Scholar]
- 109.Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006;3:77–101. 10.1191/1478088706qp063oa [DOI] [Google Scholar]
- 110.Williams M, Moser T. The art of coding and thematic exploration in qualitative research. Int Manag Rev 2019;15:45–55. [Google Scholar]
- 111.Yin RK. Discovering the future of the case study. Method in evaluation research. Evaluation Practice 1994;15:283–90. 10.1177/109821409401500309 [DOI] [Google Scholar]
- 112.Lee S-YD, Iott B, Banaszak-Holl J, et al. Application of mixed methods in health services management research: a systematic review. Med Care Res Rev 2022;79:331–44. 10.1177/10775587211030393 [DOI] [PubMed] [Google Scholar]
- 113.Zhou Y, Zhou Y, Yang L, et al. Evaluating mixed methods research integration quality in three top journals of higher education. IJMRA 2020;12:304–18. 10.29034/ijmra.v12n3a2 [DOI] [Google Scholar]
- 114.Shaw EK, Ohman-Strickland PA, Piasecki A, et al. Effects of facilitated team meetings and learning collaboratives on colorectal cancer screening rates in primary care practices: a cluster randomized trial. Ann Fam Med 2013;11:220–8, 10.1370/afm.1505 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Zickmund SL, Yang S, Mulvey EP, et al. Predicting cancer mortality: developing a new cancer care variable using mixed methods and the quasi-statistical approach. Health Serv Res 2013;48:2208–23. 10.1111/1475-6773.12116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Classen S, Lopez EDS, Winter S, et al. Population-based health promotion perspective for older driver safety: conceptual framework to intervention plan. Clin Interv Aging 2007;2:677–93. [PMC free article] [PubMed] [Google Scholar]
- 117.Perkins NJ, Cole SR, Harel O, et al. Principled approaches to missing data in epidemiologic studies. Am J Epidemiol 2018;187:568–75. 10.1093/aje/kwx348 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Fox-Wasylyshyn SM, El-Masri MM. Handling missing data in self-report measures. Res Nurs Health 2005;28:488–95. 10.1002/nur.20100 [DOI] [PubMed] [Google Scholar]
- 119.Saxena S, Funk M, Chisholm D. World health assembly adopts comprehensive mental health action plan 2013-2020. Lancet 2013;381:1970–1. 10.1016/S0140-6736(13)61139-3 [DOI] [PubMed] [Google Scholar]
- 120.Levinson D, Lakoma MD, Petukhova M, et al. Associations of serious mental illness with earnings: results from the who world mental health surveys. Br J Psychiatry 2010;197:114–21. 10.1192/bjp.bp.109.073635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Lépine J-P, Briley M. The increasing burden of depression. Neuropsychiatr Dis Treat 2011;7:3–7. 10.2147/NDT.S19617 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Andrew R, Tiggemann M, Clark L. The protective role of body appreciation against media-induced body dissatisfaction. Body Image 2015;15:98–104. 10.1016/j.bodyim.2015.07.005 [DOI] [PubMed] [Google Scholar]
- 123.Andrew R, Tiggemann M, Clark L. Positive body image and young women’s health: implications for sun protection, cancer screening, weight loss and alcohol consumption behaviours. J Health Psychol 2016;21:28–39. 10.1177/1359105314520814 [DOI] [PubMed] [Google Scholar]
- 124.Tylka TL. Overview of the field of positive body image. In: Body positive: Understanding and improving body image in science and practice. 2018: 6–33. [Google Scholar]
- 125.Swami V, Weis L, Barron D, et al. Positive body image is positively associated with hedonic (emotional) and eudaimonic (psychological and social) well-being in British adults. J Soc Psychol 2018;158:541–52. 10.1080/00224545.2017.1392278 [DOI] [PubMed] [Google Scholar]
- 126.Dlova NC, Hamed SH, Tsoka-Gwegweni J, et al. Skin lightening practices: an epidemiological study of South African women of African and Indian ancestries. Br J Dermatol 2015;173 Suppl 2:2–9. 10.1111/bjd.13556 [DOI] [PubMed] [Google Scholar]
- 127.Ya Azibo DA. Teaching the mulatto hypothesis to combat african-US colorism: just knowing can cure. Race, Gender & Class 2014:88–100. [Google Scholar]
- 128.Hunter ML. Buying racial capital: skin-bleaching and cosmetic surgery in a globalized world. J Pan Afr Stud 2011;4:142–64. [Google Scholar]
- 129.Shivakumar S, Jafferany M. "The unfair drive to be fair": psychosocial aspects and implications of the use of skin lightening agents. Dermatologic Therapy 2020;33. 10.1111/dth.14091 : [DOI] [PubMed] [Google Scholar]
- 130.Adbi A, Chatterjee C, Kinias Z, et al. Women’s disempowerment and the market for skin whitening products: experimental evidence from India. SSRN Journal 2016. 10.2139/ssrn.2862997 [DOI] [Google Scholar]
- 131.Fanon F. Black skin, white masks. Grove press, 2008. [Google Scholar]
- 132.Santiago-Delefosse M. Psychologie de la santé. In: Perspectives qualitatives et cliniques. 2002. [Google Scholar]
- 133.Elsayed H, O’Connor C, Leyritana K, et al. Depression, nutrition, and adherence to antiretroviral therapy in men who have sex with men in Manila, Philippines. Front Public Health 2021;9:644438. 10.3389/fpubh.2021.644438 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Brebante ZRT, Cagas JY. Body image, body mass index and the experience of hiya in physical education among Filipino female university students. Asia Life Sciences 2015;24:647–59. [Google Scholar]
- 135.Aquino MT, Orense CL, Tanchoco CC, et al. Correlates of body image satisfaction among economically depressed urban Filipino women. Philipp J Sci 2009;138:67–74. [Google Scholar]
- 136.Dionisio NJ. The Effect of Objectified Images in the Media on the Development of Body Dissatisfaction and Depressive Symptoms in Filipino American Women. Walden University, 2016. [Google Scholar]
- 137.David EJR, Nadal KL. The colonial context of Filipino American immigrants’ psychological experiences. Cult Divers Ethn Minor Psychol 2013;19:298–309. 10.1037/a0032903 [DOI] [PubMed] [Google Scholar]
- 138.Tuazon VE, Gonzalez E, Gutierrez D, et al. Colonial mentality and mental health help‐seeking of Filipino Americans. J Couns Dev 2019;97:352–63. 10.1002/jcad.12284 [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjopen-2022-068561supp001.pdf (98.5KB, pdf)


