Prevalence and determinants of depressive symptoms among adults in Indonesia: A cross-sectional population-based national survey

A growth curve model to estimate longitudinal effects of parental BMI on Indonesian children's growth patterns

The global surge in childhood obesity is also evident in Indonesia. Parental body mass index (BMI) values were found to be one of the major determinants of the increasing prevalence of childhood obesity. It is uncertain if parental BMI during their offspring's childhood significantly affects their children's BMI trajectories into adulthood. We aimed to investigate the influence of parental BMI Z-scores on BMI trajectories of Indonesian school-aged children, with a focus on sex-specific effects. This study utilized data from the Indonesian Family Life Survey and tracked the same respondents over four time points, from wave 2 (1997-1998) to wave 5 (2014-2015). The sample of this study consisted of children aged 5-12 years in wave 2 for whom height and weight data were available. We utilized a two-level growth curve model to account for the hierarchical structure of the data, with time nested within individual children. Fathers' BMI Z-scores in wave 2 had a pronounced influence (β = 0.31) on female children's BMI Z-scores compared to the influence of mothers' BMI Z-scores (β = 0.17). Mothers' BMI Z-scores in wave 2 showed a stronger positive association with male children's BMI Z-scores (β = 0.22) than did the father's BMI Z-scores (β = 0.19). A significant interaction of fathers' BMI Z-scores and years of follow-up was found for male children. As male children's BMI Z-scores increased by year, this effect was stronger in those whose fathers' BMI Z-scores were at a higher level. In conclusion, we found that parental BMI values profoundly influenced their children's BMI trajectories.

The longitudinal association between physical health and depressive symptoms over eight years: Evidence from the health and retirement study

BACKGROUND

The bidirectional relationship between physical health (PH) and depressive symptoms (DS) remains unclear.

METHODS

Data were extracted from the Health and Retirement Study in the United States. PH was measured with a composite of chronic diseases, functional limitations and difficulties in basic and instrumental activities of daily living, and DS with a modified Center for Epidemiological Studies of Depression. Latent growth curve models (LGCM) were employed to examine how the change in PH or DS affected their mutual trajectories in later life. In addition, multilevel models were utilized.

RESULTS

There were 6144 participants included, with an average age of 69.82 ± 6.85 years at baseline, of whom 3686 (59.99 %) were women. PH scores increased from 5.65 in 2010 to 7.72 in 2018, while depression scores increased from 1.14 to 1.31. LGCM results showed that the initial levels of PH and DS were associated (β = 0.558, P < .001), and the initial level of PH could predict the trajectory of DS (β = 0.089, P < .001). Likewise, the initial level of DS was also related to initial PH (β = -0.563, P < .001) but couldn't predict the trajectory of PH. Furthermore, the slopes of PH and DS were predicted bidirectionally by each other. Two-level logistic models further demonstrated the bidirectional association between PH and DS.

CONCLUSION

There was a bidirectional association between physical health and depressive symptoms, which highlights the necessity of comprehensive health management for older adults with poor physical health or depression symptoms.

Health characteristics and behaviors associated with self-reported depression among Brazilian reproductive-aged women: Data from a population-based survey (2020-2021)

This cross-sectional study aimed to evaluate the health characteristics and behaviors associated with depression in a large probabilistic sample of Brazilian reproductive-aged women. A total of 11,698 non-pregnant women aged 18-49 years old from the 26 Brazilian capitals and Federal District were interviewed by landline between 2020 and 2021. Logistic regression models were used to estimate the Odds Ratio (OR) of health characteristics and behaviors (smoking, alcohol abuse, physical activity, regular intake of fruits and vegetables, overweight, obesity and poor self-rated health) according to the presence of depression and drug treatment for depression. Medical diagnosis of depression, and other health characteristics and behaviors were self-reported. Analyses were adjusted by age, race/skin color, education, and marital status. Prevalence of self-reported depression was 13.3% and drug treatment for depression was reported by 5.3% of the total studied population. The presence of self-reported depression was associated with smoking (adjusted OR - aOR 2.15; CI95%:1.44-3.20), regular intake of fruits and vegetables (aOR 0.75; CI95%:0.59-0.95), overweight (aOR 1.38; CI95%:1.10-1.71), obesity (aOR 1.34; CI95%:1.04-1.71) and poor self-rated health (aOR 4.34; CI95%:3.04-6.21). Drug treatment for depression was associated with smoking (aOR 2.29; CI95%:1.33-3.95), overweight (aOR 1.65; CI95%:1.18-2.30) and poor self-rated health (aOR 4.20; CI95%:2.59-6.83). Self-reported depression and drug treatment for depression were associated with unfavorable health characteristics and behaviors among reproductive-aged women in Brazil.

Does migrant workers' subjective social status affect their mental health? Job satisfaction as a longitudinal mediator

BACKGROUND

Prior studies on migrant workers have explored the effect of their subjective social status and job satisfaction on their mental health, respectively or combined, as well as how their subjective social status affects their job satisfaction. Nonetheless, few have accounted straightforwardly and holistically for the mechanism of interaction between subjective social status, job satisfaction and mental health amongst migrant workers.

AIMS

Taking migrant workers in China as the object of study, we intended to probe the longitudinal links between their subjective social status, job satisfaction and mental health, in particular, their job satisfaction as a longitudinal mediator therein.

METHOD

Using the three-wave data from the 2014, 2016 and 2018 China Labour-force Dynamics Survey, we defined migrant workers as labourers aged 15 to 64 with agricultural hukou and engaged in non-agricultural work in urban areas. The final valid sample comprised 2,035 individuals. Latent growth models (LGMs) were applied to test the hypothesised relationships.

RESULTS

The LGMs based on bootstrapping showed that amongst migrant workers the subjective social status, job satisfaction and mental health tended overall to grow linearly and that the job satisfaction longitudinally mediated between the subjective social status and mental health.

CONCLUSIONS

The findings may enlighten policymaking to elevate migrant workers mentally and inform future studies on theoretical and practical fronts.

Prevalence and gender disparity of those who screen positive for depression in China by the classification of the employer and industry: a cross-sectional, population-based study

BACKGROUND

The important role of mental health in sustainable economic development is gradually being recognized. This study aimed to evaluate the prevalence and gender disparity of those who screen positive for depression in China by the employer and industrial classification.

METHODS

We used data from a nationally representative survey, the China Family Panel Studies. Depression was judged by the Centre for Epidemiologic Studies Depression Scale. Employer classifications were categorized according to the local characteristics of Mainland China. Industrial classifications were defined using level-1 of the China version of the International Standard Industrial Classification of All Economic Activities. Weighted logistic regressions were fitted to estimate the gender disparities, controlling for confounders.

RESULTS

Forty eight thousand six hundred twenty eight adults were included. 18.7% (95%CI 18.1-19.4) of sampled adults were screened positive for depression symptoms, with 16.6% (95%CI 15.8-17.5) in males vs 21.0% (95%CI 20.1-22.0) in females. By classification of the employer, the prevalence was lowest among those employed by Government/party organisations (11.8%, 95%CI 8.9-15.4), and highest in those self-employed (21.8%, 95%CI 20.8-22.9); the gender disparity was mainly found in those employed by Sole proprietorship (Adjusted odds ratio [AOR] = 1.95, 95%CI 1.19-3.19) and Private enterprise (AOR = 1.34, 95%CI 1.13-1.59), as well as those self-employed (AOR = 1.49, 95%CI 1.3-1.17). By industrial classification, the prevalence was lowest among those who worked in the industry of Real estate (7.2%, 95%CI 4.8-10.6), and highest among those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (22.9%, 95%CI 15.5-32.4); the gender disparity was mainly found in those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (AOR = 3.29, 95%CI 1.18-9.15), Manufacturing (AOR = 1.41, 95% CI 1.09-1.82), Wholesale and retail trade (AOR = 1.48, 95% CI 1.07-2.06), and Accommodation and food service (AOR = 1.91, 95% CI 1.15-3.18).

CONCLUSION

The prevalence of depression in China had a wide variation by classifications of the employer and industry. Gender disparities were identified among workers from Sole proprietorship, Private enterprise, and self-employed, or workers from the industry of Agriculture, forestry, animal husbandry and fishing, Manufacturing, Wholesale and retail trade, and Accommodation and food service.

Association between air quality satisfaction, family relationships, and depression symptoms among middle-aged and elderly chinese people: the mediation role of perceived health status

BACKGROUND

Population aging has led to depression becoming a serious public health problem both in China and worldwide. Marital relationships, relationships with their children, and air pollution might play an important role in the process of depressive disorders. In this study, we aimed to reveal the mechanism of the effects of these factors on depression.

METHODS

Participants were recruited from The China Health and Retirement Longitudinal Study (CHARLS) (wave 4) from July 2018 to March 2019. Depression symptoms were evaluated using the 10-item Center for Epidemiologic Studies depression scale (CESD-10). Marital relationships, relationships with their children, air quality satisfaction, and perceived health status were analyzed using Likert 5-point evaluation methods. Structural equation modeling-path (SEM) models were used to explore these variables' mediation effects on depression symptoms.

RESULTS

Marital relationships, relationships with their children, air quality satisfaction, perceived health status, and depression symptoms were significantly associated with each other (P < 0.001). Mediation analysis showed that family relationships (standardized beta = -0.28 [-0.31, -0.26]) and quality satisfaction (standardized beta = -0.03 [-0.05, -0.01]) had negative effects on depression symptoms. The total indirect effects of family relationships and air quality satisfaction on depression symptoms were -0.06 (95% confidence interval (CI) = [-0.07, -0.05]) and -0.016 (95% CI = [-0.02, -0.01]), respectively.

CONCLUSION

Family relationships, air quality satisfaction, and perceived health status influenced depression symptoms. The effects of family relationships and air quality satisfaction on depression symptoms were significantly mediated by perceived health status. Therefore, perceived health status aspects should be considered when conducting targeted intervention toward depression symptoms among middle-aged and elderly adults.

Self-construal and behavioral motivation systems among patients with depression in Indonesia: A hospital-based study

Objective

To validate Indonesian versions of two social/cultural psychological scales: the Self-Construal Scale (SCS) that measures independent and interdependent cultural values, and the Behavioral Inhibition (Avoidance) System and Behavioral Approach System (BIS/BAS) that measures motivation focus. We also explored the cultural background for the rising prevalence of depression in Indonesia.

Design

Case (hospital)–control (population) study.

Setting

Hasanuddin University Hospital (cases) and Makassar city region (controls), Indonesia.

Participants

Participants (N = 369) were 165 patients with depression recruited from a university hospital, and 204 healthy controls without a history of mental disorders recruited from locations within a 30-minute walk from the hospital.

Outcome measures

Depression was diagnosed by psychiatrists with reference to Indonesian mental disorder guidelines (Pedoman Penggolongan dan Diagnosa Gangguan Jiwa edisi 3). Participants’ independent and interdependent cultural values, and neural motivational systems were measured with the SCS and BIS/BAS.

Results

Exploratory and confirmatory factor analyses showed that our revised 12-item SCS and the 13-item, three-factor BIS/BAS had a good model fit for the Indonesian population. MANCOVA showed that the SCS Independent subscale and the BAS subscales were significantly associated with depression after adjustment for age, sex, religion, education, and occupation.

Conclusion

These findings may guide provision of appropriate treatment for patients based on their social and cultural environment. In addition, this study contributes to understanding underlying reasons for the increasing prevalence of depression in Indonesia, where society is changing from traditional collectivism to global individualism.

•

This was the first study to validate and revised the SCS and BIS/BAS in an Indonesian population.

•

This study was the first to explore the link between self-construal, neural motivational systems and depression in Indonesia.

•

This study did not draw causal relations between predictors and the outcome because of its cross-sectional nature.

•

We used occupation to measure socioeconomic status rather than income to see its linkage with depression and self-construal.

•

We did not measure effects of ethnicity, although Indonesia has various ethnic groups with different societies and cultures.

Prevalence and influencing factors of depressive symptoms among rural-to-urban migrant workers in China: A systematic review and meta-analysis

BACKGROUND

Rural-to-urban migrant workers are a large group in China, and they are often more prone to mental health problems, especially depression. We expected to use meta-analysis to estimate the prevalence of depressive symptoms and the influencing factors of depressive symptoms among rural-to-urban migrant workers in China.

METHODS

PubMed, Web of Science, Embase, Scopus, CINAHL Complete, PsycARTICLES, CNKI, Wan Fang, CBM, and Cochrane were searched on October 16, 2021. The data were analyzed using OR and random effect model in Revman5.3 and STATA 15 Software.

RESULTS

We included 30 studies involving 43,884 rural-to-urban migrant workers. The prevalence of depressive symptoms among rural-to-urban migrant workers in China was 0.28 (95% CI:0.22, 0.34); Results of the meta-analysis showed that working hours, sleep status, self-rated health, financial condition, job satisfaction, marriage, and social support were correlated with depressive symptoms.

LIMITATIONS

The systematic review and meta-analysis included only cross-sectional studies, and more types of original studies on depressive symptoms of rural-to-urban migrant workers in China should be carried out in the future.

CONCLUSION

The prevalence of depressive symptoms among rural-to-urban migrant workers in China is 28%. Government departments can intervene early in the process to promote the mental health of this group based on influencing factors of depressive symptoms among rural-to-urban migrant workers in China.

Prevalence of Anemia and Factors Associated With Handgrip Strength in Indonesian Elderly Population

Introduction: Anemia is a common blood disorder in the elderly which is associated with numerous poor medical outcomes. However, there is currently no study that assesses anemia prevalence of the Indonesian elderly population aged ≥60 years old in multiple provinces and analyzes its association with handgrip muscle strength using a large sample size.

Aim: We aimed to elucidate the prevalence of anemia and analyze factors associated with handgrip strength in elderly.

Method: This was a cross-sectional study using data from the Indonesian Family Life Survey-5 (IFLS-5). All participants aged ≥60 years old were included in this study. Exclusion criteria were: (1) respondents who refused to take health measurements (hemoglobin (Hb) level, handgrip strength, weight, stature, and waist circumference); (2) respondents with incomplete or missing data; (3) respondents with history of stroke; and (4) respondents with history of pain, swelling, inflammation, injury, and surgery on one or both hands within the last 6 months. The dependent variable for this study was handgrip strength. Subjects were classified as weak if the handgrip strength was <28 kg for men and <18 kg for women based on classification from the Asian Working Group for Sarcopenia (AWGS) 2019. The independent variables were Hb level, gender, age, body mass index (BMI), waist circumference, smoking history, comorbidities, and current use of drug therapies. Based on WHO standard, male and female participants with Hb less than 13 g/dL and 12 g/dL, respectively, are defined as anemic. Statistical analyses used included correlation, bivariate logistic regression, and multivariate logistic regression.

Result: A total of 3192 individuals were selected for analysis. Overall, 38.8% of participants had anemia, and the prevalence of anemia increases with age. A total of 56.30% of participants aged  ≥80 years had anemia. There was a positive correlation between Hb level and handgrip strength in the Indonesian elderly population (r: 0.349; p value: <0.001). Multivariate analysis showed that anemia was significantly associated with weak handgrip strength (OR: 1.557; 95% CI: 1.314-1.846; p value: <0.001).  Age ≥ 80 years (OR: 5.234), age 70-79 years (OR: 3.152), low BMI (OR: 1.827), and hypertension (OR: 1.340) were associated with weak handgrip strength in multivariate analysis.

Conclusion: The prevalence of anemia in the Indonesian elderly was 38.8% and anemia was associated with weak handgrip strength. The association of anemia with weak handgrip strength is more pronounced in males and the elderly aged ≥80 years.

Health and well-being in small island communities: a cross-sectional study in the Solomon Islands

OBJECTIVES

This study explored the health problems of inhabitants of small South Pacific Islands under the influence of climate change, focusing on three communities in the Solomon Islands.

DESIGN

Cross-sectional study of the Solomon Islands' populations.

SETTING

A field survey was conducted in Taro Island, a small, urbanised island with a whole-community relocation plan; Manuopo community of Reef Islands, a small remote island on an atoll environment and Sasamungga, an intermediately urbanised community on a larger island. The Sasamungga community was used for comparison.

PARTICIPANTS

Each community's participants were recruited through local health authorities, and 113, 155 and 116 adults (aged 18+ years) from Taro, Manuopo and Sasamungga, respectively, participated voluntarily.

METHODS

Each participant's body height, weight and body mass index were measured. A drop of blood was sampled for malaria testing; glycated haemoglobin and C reactive protein levels, measured from another drop of blood, were markers for diabetes and inflammation, respectively. The Primary Care Screening Questionnaire for Depression measured depressive mental states.

PRIMARY AND SECONDARY OUTCOME MEASURES

Regarding health status, the dependent variables-communicable diseases, non-communicable diseases and mental state-and independent variables-differences in communities and socioeconomic status-were measured through health check-ups and interviews of individual participants.

RESULTS

Taro Island inhabitants had a higher risk of obesity (OR 1.13, 95% CI 1.02 to 1.27, p=0.0189), and Manuopo inhabitants had a higher risk of depression (1.25, 95% CI 1.08 to 1.44, p=0.0026) than Sasamungga inhabitants. Manuopo inhabitants recognised more serious problems of food security, livelihood, place to live and other aspects of daily living than other communities' inhabitants.

CONCLUSIONS

The three small island communities' observation identified different health problems: the urbanised community and remote community had a high risk of non-communicable diseases and mental disorders, respectively. These health problems should be monitored continuously during future climate-related changes.