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Research Article

A cross-sectional study of Malaysian low-income drug addict wives: Relationship between family impact, coping and mental wellbeing

[version 1; peer review: 1 approved, 1 approved with reservations]
PUBLISHED 21 Jun 2022
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This article is included in the Addiction and Related Behaviors gateway.

Abstract

Background: The involvement of the husbands in the issue of drug addiction has impacted the wives’ livelihoods. Due to drug addiction amongst husbands, the wives experience stress and strain. The Stress Strain Coping Support Model (SSCS) was established to better comprehend how coping influences stress and strain. Thus, the purpose of this study was to determine the relationship between the stress which refers to family impact experienced by the wives of drug addicts, in terms of economic difficulties and marital conflict, and mental wellbeing. Furthermore, this study examines the role of coping as a mediating factor between family impact and mental wellbeing.
Methods: This study involved 132 wives of low-income drug addicts in Malaysia, who were selected using a purposive sampling method. Economic Strain Scale (ESS) and Braiker-Kelly Marital Conflict Scale (BKMCS) were used to measure family impact. Coping and Adaptation Processing Scale Short Form (CAPS-SF) and Short Warwick-Edinburgh Mental Wellbeing Scale (SWEMWBS) were used to measure coping and mental wellbeing of the respective respondents.
Results: Path analysis using SmartPLS software version 3.3.7 showed that there is a direct association between family impact and coping, and between coping and mental wellbeing. The results also showed that family impact was associated indirectly with mental wellbeing through coping. 
Conclusions: The findings benefited drug addict wives and practitioners related to this field in terms of enhancing the use of coping mechanisms in managing family impact and improving mental wellbeing, specifically amongst low-income drug addict wives.

Keywords

marital conflict; economic strain; stress; family impact; coping; mental wellbeing; drug addict wives; low income

Introduction

Drug addiction is a global issue that affects every country, including Malaysia. According to,1 around 275 million people worldwide have engaged in drug misuse, with up to 36 million of those people suffering from substance abuse disorders. Meanwhile the statistics from Ref. 2 shown there were 142,199 drug misuse cases in Malaysia in 2019, compared to a population of approximately 32.4 million to 32.6 million Malaysians. These figures indicate that around one person in every 229 people in Malaysia is a drug user. At least 95.5 percent of drug addicts are men, while women make up only 4.5 percent.

Drug abuse has a harmful impact not only on the addicted person, but also on their family members. A previous study found that people who live with drug abusers are stressed out a lot3 and women who are drug addicts’ wives or mothers face more severe negative consequences than other family members.47 For the wives of drug addicts, mental health is a major issue.816 Wives of drug addicts also often have problems with their social networks, like not being able to get help from others and not being able to keep in touch with family and friends,10,13,1618 experiencing violence and persecution,10,12,17,1921 experiencing issues related to marital conflict8,10,18,22 and experiencing economic strain.12,1417,2225 It is predicted that the wives of drug users will have a negative impact on their overall wellbeing as a result of having to deal with a large number of negative situations. However, although the wives of drug addicts face a variety of difficulties in their lives, not everyone wishes for the marriage to end in a dissolution. One of the reasons wives want to stay with their husbands is a sense of obligation to help their husbands deal with addiction and worry about life after separation because they have strong physical and emotional ties with their partners.18 Thus, a study should be conducted to see how they deal with them. This is because living with drug addicts without the right coping skills will have a negative effect on their wellbeing.

The Stress Strain Coping Support Model is one of the models that focuses on the stress and strain experienced by the wife of a drug addict.26 The main idea behind this model is that people who are stressed because family members have addiction problems can respond to that stress and reduce the amount of strain they experience. The stress that families feel because of their loved one’s addiction problems can come in many different forms, including family problems, life management issues, and concerns about money and resources.27 The concept of stress was measured in this study using the concept of family impact, which includes marital conflict and economic strain. The strain felt by family members of addicts is a direct result of the environment in which they live. According to this model, family member strain refers to the health of family members. These health problems arise as a result of the addict’s immediate family members experiencing behavioural disorders, distinctive changes, and serious challenges. Health issues that affect direct family members can range from physical to psychological. The concept of strain was measured in this study using mental wellbeing. It is assumed that the stress that drug users’ wives suffer contributes to their poor mental wellbeing. The existence of symptoms of either happy feelings or positive functioning in life can be regarded as mental wellbeing.28 The concept of mental wellbeing, according to Ref. 29, encompasses two perspectives: a subjective experience perspective on happiness (affect) and life satisfaction (hedonic perspective); and a positive psychological functioning perspective on good relationships with others and self-realization (eudaimonia perspective).

Coping is an important concept in the SSCS model, which means that family members who face problems in their lives because of the involvement of immediate family members with addiction problems must figure out how to understand and respond to family problems. The way a family understands and responds to the problems they face is a sign of how well they are coping. Coping is a broad term that refers to an effort that entails cognitive and behavioural processes in order to deal with an unpleasant event in life30 while31 define coping as the variety of ways in which individuals think and behave in response to problems and stress. Coping is a fundamental premise of the SSCS model because it assumes that family members are not helpless but capable of improving their own health.32 describe three coping strategies used by family members to deal with their family members’ addictions: putting up, withdrawing, and engaging in active coping, or standing up. Even though the SSCS model is often used to look at the relationships between these variables, some of the model’s flaws have been found. To begin with, it is ineffective at examining how stress affects strain because it uses data from European countries such as Mexico, England, and Italy. However, it excludes data from Asian and Muslim countries.27 Second, the SSCS model focuses on interpersonal coping, and an examination of intrapersonal coping is necessary.11 Third, the role of coping as a moderating or mediating factor in the relationship between stress and strain remains unclear and requires additional research.33

As a result, this study was conducted to close the gap that currently exists: 1) the respondents in this study are Muslim wives of drug addicts in Malaysia. 2) recognise the scope of coping specifically through concept of coping process introduced by Ref. 32. According to Ref. 32 coping is a behaviour in which the process of adaptation occurs during a stressful situation and is classified into four adaptive modes: physiology, self-concept, role function and interdependence. 3) this study determined the role of coping as a mediating factor in the relationship between family impact and mental wellbeing.

Based on the preceding discussion, the purpose of this study was to identify the association between the family impact experienced by wives of drug addicts in terms of economic strain and marital conflict, as well as their ability to cope and their mental wellbeing. In addition, this study looks into the role of coping as a mediator between family impact and mental wellbeing relationship. The conceptual framework of this study is as shown in Figure 1.

57ad1be9-f5a7-45a3-9d24-16d8b8e4794d_figure1.gif

Figure 1. Conceptual framework.

Literature review

Marriage is a natural part of practically everyone’s life. According to a prior study, married individuals had a higher sense of wellbeing than unmarried, divorced, or widowed individuals.3437 However, the problems that married couples have because their husbands are addicted to drugs have a negative effect on the quality of their marriage.3840 Numerous previous studies have examined the relationship between family impact such as marital conflict and various aspects of wellbeing. The majority of previous research has established a direct link between marital conflict and aspects of life quality, such as mental health,4144 subjective wellbeing,45 life satisfaction46 and suicide ideation.44,47 However,48 study contradicts the findings of other researchers, as he discovered that marital conflict has no significant relationship with psychological wellbeing.

Additionally, previous researchers examined the relationship between the variables in this study. A study conducted by Refs. 3, 49 discovered a significant relationship between family impact, coping, and strain among addicts’ family members. In a study of infertile couples,50 found that marital satisfaction, marital communication, conflict resolution style, and coping were all linked to each other.33 conducted a study to examine the association between family impact and involvement coping, tolerance coping, depression, anxiety, stress, and quality of life, and discovered a strong relationship between these variables. Withdrawal coping, on the other hand, has not been linked to stress. The study by Ref. 51 found that higher levels of burden showed significant associations with greater psychological distress and more use of coping, whereas greater acceptance of the situation showed an association with less psychological distress.

Numerous researchers have examined the capacity for coping as a mediator between the relationship between family impact and strain. However, the methods used by previous researchers to assess family impact and strain are clearly different. Study conducted by5 examined stress and strain using the Family Member Impact Scale and the Symptom Rating Scale. This study discovered that involvement and tolerant coping both function as partial mediators of family stress and strain.49 Horváth and Urbán used the Zarit burden interview - short version to assess stress, while Beck hopelessness scale - short version was used to assess strain. The study’s findings indicate that tolerant inactive is a significant mediator of the stress-strain relationship. Coping’s ability to act as a mediator is also supported by Ref. 3 findings that coping acts as a significant mediator between stress and strain. However, the findings of33 study differ from those of other researchers. Significant mediators for stress-strain relationships were not found to be coping.

According to the literature review above, the following gaps were discovered during the analysis of this previous study; First, the findings regarding the relationship between the variables are varied. Second, this previous study did not include wives of drug addicts in its sample selection; rather, it included a variety of samples, including wives of alcohol addicts,52 married couples in general,46 working wives,43,47 and patients diagnosed with depression.42 Third, studies involving Malaysian participants are still lacking. Fourth,49 suggest that the measurement tools used to measure variables should also be different. Thus, a study focusing on the wives of low-income drug addicts in Malaysia is necessary to examine the relationship between family impact, coping, and mental wellbeing in the Malaysian context.

Methods

Research design

The quantitative approach was chosen because the primary goal of this study was to determine the relationship between the study variables, which were family impact, coping, and mental wellbeing. Using SMART-PLS software, this study also aimed to test the role of coping factors in mediating the relationship between family impact and mental wellbeing. This study employs a cross-sectional design and a questionnaire-based survey method. Furthermore, this is a correlation-shaped study. A correlation-shaped study, according to Refs. 53, 54, is a study that involves data collection to determine whether there is a relationship between the variables measured and to investigate the extent to which the impact of various variables is independent of the dependent variable. The independent variable in this study is family impact, and the dependent variable is mental wellbeing. While coping is a mediator variable between the family impact and mental wellbeing relationship. Because the cross-sectional study is prone to common method bias, common method variance analysis was conducted using Harman’s Single Component approach to address this issue.

Purposive sampling method was used to select the study sample, which included 132 wives of drug addicts. The subject criteria for this study were low-income wives, i.e., household income less than RM4,849 (USD1,103.56); wife of a drug addict who is in a drug rehabilitation centre; not involved in drugs; Malay; and has at least one child between the ages of 17 and under living together. Wives who do not meet all of the criteria will be left out of the study sampling process. The total amount of wives’ information received from drug addicts in NARC was 296. However, after screening, a total of 45 wives did not meet the following criteria, and a total of 85 individuals could not be reached through the use of phone calls or questionnaire posting. In addition, 32 wives declined to participate in the study, bringing the total number of respondents to 132. The GPower software was used to figure out the sample size for the study. The minimal sample size necessary for this investigation is 107 respondents at the 95 percent confidence level (α=0.05) due to the inclusion of two independent variables. The participants in the study ranged in age from 18 to 53 years old, with an average age of 37.92. This study also considered the following socio-demographic characteristics for wives of drug addicts: education level; marriage duration; and number of children younger than 17 years old.

Instruments

Permission was granted to use a questionnaire created by the original author. All the measurement instruments used in the study were created in English. Due to the fact that one of the selection criteria for study respondents is Malay, all measurement tools have been translated into Malay using back-to-back translation by professional translators from the Centre for the Advancement of Language Competence (CALC), Universiti Putra Malaysia. The instruments used in this study were checked for content validity by two experts in developmental psychology and human development before they were used in the study.

The Economic Strain Scale (ESS)55 and the Braiker-Kelly Marital Conflict Scale (BKMCS)56 were used to assess family impact in this study. The ESS has four items and is scored on four Likert scales that range from “strongly disagree” to “strongly agree.” The ESS is made up of four items. Cronbach’s alpha ESS values for looking at internal consistency by earlier researchers were 0.8657 and 0.81.55 In this study, the internal consistency coefficient for ESS was 0.83 for the pilot study and 0.89 for the actual study. The BKMCS has five items and is measured on a type 5 Likert scale, with items 1 to 3 ranging from “not very much” to “very much,” and items 4 and 5 ranging from “not very often” to “very often”. The value of Cronbach’s alpha BKMC to see the reliability by previous researchers is in the range of 0.69 to 0.89.5867 In this study, the internal consistency coefficient for ESS was 0.84 for the pilot study and 0.90 for the actual study.

The Coping and Adaptation Processing Scale Short Form (CAPS-SF)68 was used to assess coping in this study. CAPS-SF has 15 items and is scored on a four-point Likert scale ranging from “never” to “always”. In this measurement tool, each item is a short statement about how people react to things that are stressful or hard in their lives. Cronbach’s alpha CAPS-SF values used by earlier researchers to figure out how consistent they were ranged from 0.74 to 0.87.6872 In the current study, the internal consistency coefficient for CAPS-SF was 0.75 for the pilot study and 0.79 for the actual study.

Mental wellbeing in this study was measured using the Short Warwick-Edinburgh Mental Wellbeing Scale (SWEMWBS), developed by a group of researchers from the Universities of Warwick and Edinburgh.29 SWEMWBS contains 7 items and uses a 5-likert scale that ranges from “none of the time” to “all of the time”. The study conducted by73 found that SWEMWBS has a good reliability of 0.83. In the current study, the internal consistency coefficient for SWEMWBS is 0.68 for the pilot study and 0.83 for the actual study.

Procedure

The study protocol was approved by the Ethics Committee for Research Involving Human Subjects, Universiti Putra Malaysia (Reference No.: JKEUPM-2020-406). A set of questionnaires was used to collect the data in this study. Prior to the study, permission was granted to the Malaysian National Anti-Drug Agency (AADK) to gather information about the wife from drug addicts (clients) at the Narcotics Addiction Rehabilitation Centre (PUSPEN) involved. Their wives were called by phone to ask for their permission to take part in the study after the drug addicts’ wives’ information was found. Next, the questionnaire was then distributed through WhatsApp in the form of a “Google form”. Written informed consent was also given to the respondents along with the distributed questionnaires. A pilot study, including 30 women of drug addicts whose husbands were seeking treatment at PUSPEN Batu Kurau and PUSPEN Perlop, Perak, was conducted prior to the main study.

Analysis and findings

Common method variance

Prior to the other analytic tests, a Common Method Variance analysis was performed. According to Harman’s Single Component approach,74 the first factor explained the greatest proportion of the overall variance, at 20.203% (i.e., less than 50%). The findings of the factor analysis revealed that no general factors appeared, indicating that common technique bias was not significant in this data set.75

Respondent’s profile

The demographic features listed in the present study include age, education level, marriage duration, and the number of children younger than 17 years old as depicted in Table 1. Referring to Table 1, majority of the respondents fell under the age group of 31 to 40 years old (i.e., 44.7%); 28.0% of the respondents were 21 to 30 years old; 24.2% of the respondents were 41 to 50 years old; 2.3% were more than 51 years old; and only 0.8% were younger than 20 years old. In terms of education level, the majority of respondents (48.5%) complete upper secondary school; 26.5% complete junior secondary school; 9.8% complete a diploma; 7.6% complete a certificate; and 4.5 percent complete a bachelor’s degree; 2.3% have completed primary school; and only 0.8 % have completed a master’s degree. For the duration of marriage, the majority of the respondents fell under the duration group of 6 to 10 years (i.e., 27.3%); 22.7% of the respondents were in the group of less than five years and the 11 to 15 years group; 12.9% were in the 16 to 20 years group; 7.6% 21 to 25 years; 6.1% 26 to 30 years; and only 0.8% fell under the group of more than 31 years.

Table 1. Respondent’s profile.

Demographic variablesCategoryFrequencyPercentage (%)
AgeBelow 2010.8
21-303728.0
31-405944.7
41-503224.2
More than 5132.3
Education levelPrimary school32.3
Junior secondary school3526.5
Upper secondary school6448.5
Certificate107.6
Diploma139.8
Bachelor’s degree64.5
Master’s degree10.8
Marriage durationLess than 5 years3022.7
6 to 10 years3627.3
11 to 15 years3022.7
16 to 20 years1712.9
21 to 25 years107.6
26 to 30 years86.1
More than 31 years10.8
Numbers of children younger than 17 years oldOne2922
Two3224.2
Three3929.5
Four2216.7
Five75.3
Six10.8
Seven21.5

Model estimation

The partial least squares (PLS) technique, a variance-based structural equation modelling (SEM) was used in this investigation through the SmartPLS programme.76 The higher-order construct using disjoint two-stage approach was analysed.77 PLS–SEM was chosen due to the fact that it imposes fewer constraints on population size, scale measurement, and dispersion.78 The model’s constructs were all measured reflectively.

Assessment of measurement model

Since this study used a disjoint two-stage approach, the steps that were proposed by Ref. 77 were implemented. The first step is to see if the lower order components fulfil the criteria that have been outlined, such as internal consistency, convergent validity, and discriminant validity. Then, the latent variable scores of the lower order components will be incorporated into the model in the second stage. After that, higher-order components that met the requirements (internal consistency, convergent validity, and discriminant validity) were determined.

Measurement model for lower-order components

Table 2 shows the outcomes of the measurement model evaluation. Numerous items discovered in the coping construct (i.e., CAPS_1, CAPS_5, CAPS_8, CAPS_9, CAPS_12, CAPS_13, CAPS_14) were discarded due to their extremely low loading values as suggested by Ref. 79. After removing several coping items, all constructs in this study met the standards, with the exception of several coping constructs. The accepted values suggested by Ref. 79 is the loading values exceeding 0.708, composite reliability (CR) values exceeding 0.7, and AVEs (Average Variance Exact) values over 0.5. For coping constructs, several items were retained even though the loading value fell below the 0.708 requirement. The reason for this is that indicators that have loadings between 0.40 and 0.708 should only be removed if they make internal consistency, reliability, or convergent validity better above the threshold value.79 As a result, all constructs fulfilled the criterion for reliability and convergent validity. Discriminant validity in this study was analysed using HTMT technique.80 As shown in Table 3, all discriminant values exceeded the HTMT threshold value. 90. As a result, discriminant validity was proven.

Table 2. Reliability and convergent validity for first stage.

Construct/associated itemsLoadingComposite Reliability (CR)Average Variance Extracted (AVE)
Economic strain0.9230.753
ESS_10.926
ESS_20.902
ESS_30.896
ESS_40.732
Marital conflict0.9220.704
BKMCS_10.757
BKMCS_20.867
BKMCS_30.815
BKMCS_40.889
BKMCS_50.861
Coping0.8890.502
CAPS_1Item deleted due to low loading
CAPS_20.780
CAPS_30.785
CAPS_40.702
CAPS_5Item deleted due to low loading
CAPS_60.713
CAPS_70.704
CAPS_8Item deleted due to low loading
CAPS_9Item deleted due to low loading
CAPS_100.647
CAPS_110.633
CAPS_12Item deleted due to low loading
CAPS_13Item deleted due to low loading
CAPS_14Item deleted due to low loading
CAPS_150.689
Mental wellbeing0.8760.506
SWEMWBS_10.630
SWEMWBS_20.743
SWEMWBS_30.644
SWEMWBS_40.783
SWEMWBS_50.812
SWEMWBS_60.551
SWEMWBS_70.778

Table 3. Discriminant validity for first stage.

1234
1. Coping
2. Economic strain0.186
3. Marital conflict0.2310.243
4. Mental wellbeing0.3620.0890.135

Measurement model for higher-order components

For the higher-order components as shown in Table 4 and Table 5, all the values of loadings, CR, AVE and HTMT accomplish the recommended value suggested by.79 Therefore, structural model measurements can be carried out.

Table 4. Reliability and convergent validity for second stage.

Construct/associated itemsLoadingComposite Reliability (CR)Average Variance Extracted (AVE)
Family impact0.7570.610
Economic strain0.719
Marital conflict0.838
Coping0.8890.502
CAPS_20.780
CAPS_30.785
CAPS_40.702
CAPS_60.713
CAPS_70.704
CAPS_100.647
CAPS_110.633
CAPS_150.689
Mental wellbeing0.8760.506
SWEMWBS_10.630
SWEMWBS_20.743
SWEMWBS_30.644
SWEMWBS_40.783
SWEMWBS_50.812
SWEMWBS_60.551
SWEMWBS_70.778

Table 5. Discriminant validity for second stage.

123
Coping
Family impact0.421
Mental wellbeing0.3620.164

Structural model assessment

The structural model assessment was conducted after the construct validity and reliability were verified by the measurement model assessment. The R-Square, or coefficient of determination, structure path co-efficient (B value), T-statistic value, and P-values are critical Smart PLS indicators used for determining results with a 95 percent confidence interval for the purpose of analysis interpretation. The R-square might be high (>0.75), moderate (>0.50), or low (>0.25). The Inner VIF is used to investigate the issue of collinearity. VIF readings are significantly lower than the 3.33 criterion,82 as shown in Table 6. As a result, there is no issue with multicollinearity in this model.

Table 6. VIF values for collinearity issue.

RelationshipVIF
Family impact Coping1.000
Family impact Mental wellbeing1.065
Coping Mental wellbeing1.065

Path-coefficient for structural model was assessed to examine the objective of this study using the bootstrap re-sampling technique (5000 re-sample). The R2 value was 0.138, which suggested that 13.8% of the variance mental wellbeing may be explained by coping and family impact. As shown in Table 7, family impact was found to be positively related (β=0.247, p<0.05) to coping. Coping was also found to be positively related (β=0.380, p<0.05) to mental wellbeing. However, results show that family impact not related (β=0.380, p>0.05) to mental wellbeing.

Table 7. Path coefficient assessment.

RelationshipCoefficientt-ValueP Value
Coping Mental wellbeing0.386.438*0.00**
Family impact Coping0.2472.59*0.01**
Family impact Mental wellbeing-0.141.2990.19

* t>1.96.

** p<0.05.

The mediation effect was further investigated using bootstrapping approaches. Table 8 shows the results of the study on the influence of family impact on mental wellbeing through coping, which showed that the impact of mediation was statistically significant (β=0.094, p<0.05).

Table 8. Indirect relationship assessment.

Indirect effectt-valueP value
Family impact -> Coping -> Mental wellbeing0.0942.140.032**

** p<0.05.

Discussion

The purpose of this study was to see if there was an association between family impact, coping, and mental wellbeing. The goal of the study is also to figure out what role coping plays in the relationship between family impact and mental wellbeing for low-income drug addicts’ wives. The findings of the study indicate that family impact has a significant association with coping. Coping was also discovered to have a substantial association with mental wellbeing. The family impact, on the other hand, was found to have an indirect association with mental wellbeing through coping rather than a direct relationship. This means that coping plays a big part in the way that family impact and mental wellbeing are linked.

The findings of this study are consistent with those of52 who discovered that there is no direct association between family impact (marital conflict) and mental wellbeing. Furthermore, the findings of this study contradict those of4147 who discovered a direct association between these two factors. This study’s findings are also in line with those of,3,33,49,50 who found that family impact on coping and coping with strain are linked. The ability of coping as a significant mediator in the relationship between family impact and mental wellbeing is also in line with the findings of,3,5,49 while contradicting the findings of.33 It is critical to highlight, however, that prior research employed a different concept to measure stress and strain. The current study measured the impact on families in terms of marital conflict and economic strain. Current research also uses a variety of different tools to assess coping and strain, making it impossible to duplicate previous findings.

The dimensions found in the coping construct developed by83 must be examined to explain how coping acts as a mediator factor in the relationship between family impact and mental well-being. The primary dimensions found in the coping and adaptation processing construct are resourceful and focused. When dealing with stress, being resourceful and focused reflects behaviours that make use of oneself and one’s resources. It focuses on increasing input, being creative, and achieving results. The second dimension, physical and fixed, emphasises physical reactions as well as the input phase of dealing with situations. Alert processing is a coping and adaptation dimension that employs behaviours that represent both the personal and physical self. It focuses on all three processing levels: input, central, and output. As a coping dimension, systematic processing describes personal and physical strategies used to take in situations and methodically handle them. Finally, knowing and relating is a dimension in which strategies reflect the use of oneself and others, memory, and imagination. It can be shown that, despite the fact that people are exposed to numerous sorts of stress, they can achieve mental well-being by improving their coping processes in these four aspects.

Limitations and future research directions

There are some limitations to this study. For starters, the study’s cross-sectional design made it difficult for researchers to make causal findings. Second, the study’s sample size was tiny, and it was chosen using a nonprobability sampling method. As a result, generalisations are impossible. Third, one crucial feature of the SSCS model, namely social support, was not included in this study. As a result, there was no way to determine the role of social support in examining the relationship between familial impact and mental wellbeing. However, there are some positive aspects to this research. First, the findings of this study can give drug users’ wives an early sense of the necessity of building coping and mental wellbeing when dealing with family stress. Second, the findings of this study can be used by professionals in this field to help the wives of drug addicts improve their mental health. Therefore, there are some recommendations for future studies. First, a longitudinal study can be done to look at the causal relationship. Second, sample selection should be done using a probability sampling method to enable the results of the study to be generalized. Third, using the same concepts and measurements as in this study, the role of social support in the relationship between family impact and mental wellbeing needs to be explored.

Data availability

Underlying data

Figshare. Malaysian Low Income Drug Addict Wives: Family Impact, Coping and Mental Wellbeing. DOI: https://doi.org/10.6084/m9.figshare.19865176.v3.84

This project contains the following underlying data:

  • This data was used for an article published titled “A cross-sectional study of Malaysian low-income drug addict wives: Relationship between family impact, coping and mental wellbeing”

Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

Credit authorship contribution statement

Haikal Anuar Adnan: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Resources, Software, Writing – Original Draft Preparation, Writing – Review & Editing. Zarinah Arshat: Funding acquisition, Supervision, Methodology, Conceptualization, Writing – review & editing. Nurul Saidatus Shaja’ah Ahmad Shahril: Data Curation, Project Administration, Writing – review & editing.

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Adnan HA, Arshat Z and Ahmad Shahril NSS. A cross-sectional study of Malaysian low-income drug addict wives: Relationship between family impact, coping and mental wellbeing [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2022, 11:683 (https://doi.org/10.12688/f1000research.122476.1)
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Mohd Radzi Tarmizi A Halim, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia 
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Introduction:

Cultural Context:

Gap: Existing research primarily uses data from European countries, lacking insights from Asian and Muslim contexts.
Recommendation: Emphasize how studying Muslim wives of drug addicts in Malaysia will provide unique ... Continue reading
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Marek A. Motyka, Uniwersytet Rzeszowski, Rzeszow, Podkarpackie Voivodeship, Poland 
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Thank you for the opportunity to review this manuscript.

The topics are clearly presented and the paper cites current literature. One of the items cited is from the late 1970s, but it relates to a research tool, ... Continue reading
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Motyka MA. Reviewer Report For: A cross-sectional study of Malaysian low-income drug addict wives: Relationship between family impact, coping and mental wellbeing [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2022, 11:683 (https://doi.org/10.5256/f1000research.134465.r184781)
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  • Author Response 19 Mar 2025
    Zarinah Arshat, Department of Human Development and Family Studies, Faculty of Human Ecology, Universiti Putra Malaysia, Serdang, 43400, Malaysia
    19 Mar 2025
    Author Response
    Dear Reviewer,
    Thank you for your valuable feedback on our manuscript. We sincerely appreciate your thoughtful comments and the opportunity to improve our work. Below, we address your specific concern ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 19 Mar 2025
    Zarinah Arshat, Department of Human Development and Family Studies, Faculty of Human Ecology, Universiti Putra Malaysia, Serdang, 43400, Malaysia
    19 Mar 2025
    Author Response
    Dear Reviewer,
    Thank you for your valuable feedback on our manuscript. We sincerely appreciate your thoughtful comments and the opportunity to improve our work. Below, we address your specific concern ... Continue reading

Comments on this article Comments (0)

Version 2
VERSION 2 PUBLISHED 21 Jun 2022
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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