scholarly journals Family size and old-age wellbeing: effects of the fertility transition in Mexico

2015 ◽  
Vol 37 (3) ◽  
pp. 495-516 ◽  
Author(s):  
CARLOS DÍAZ-VENEGAS ◽  
JOSEPH L. SÁENZ ◽  
REBECA WONG

ABSTRACTThe present study aims to determine how family size affects psycho-social, economic and health wellbeing in old age differently across two cohorts with declining fertility. The data are from the 2012 Mexican Health and Ageing Study (MHAS) including respondents aged 50+ (N = 13,102). Poisson (standard and zero-inflated) and logistic regressions are used to model determinants of wellbeing in old age: psycho-social (depressive symptoms), economic (consumer durables and insurance) and health (chronic conditions). In the younger cohort, having fewer children is associated with fewer depressive symptoms and chronic conditions, and better economic wellbeing. For the older cohort, having fewer children is associated with lower economic wellbeing and higher odds of being uninsured. Lower fertility benefited the younger cohort (born after 1937), whereas the older cohort (born in 1937 or earlier) benefited from lower fertility only in chronic conditions. Further research is needed to continue exploring the old-age effects of the fertility transition.

Author(s):  
Leah Sawyer Vanderwerp

Using data from the National Longitudinal Survey of Youth-Mother and Child samples, I investigated the relationships among child and adolescent depressive symptoms, having a chronically ill sibling, and other child and familial demographic variables. From research on social support and social role transitions, with the Stress Process as a theoretical model, I hypothesized that children with chronically ill siblings experience more depressive symptoms. Specifically, I looked at age, gender, birth order and family size as potentially reducing the effect size of having a chronically ill sibling. Findings showed that having a chronically ill sibling is associated with demonstrating more depressive symptoms both in the bivariate and multivariate analyses. Although age, gender, birth order and family size do not interact significantly with having a chronically ill sibling in predicting depressive symptoms, they do present interesting findings about childhood depressive symptoms in general. Thus, the results of this study suggest specific and meaningful paths for future research.


Author(s):  
Hyejung Lee ◽  
Ki-Eun Kim ◽  
Mi-Young Kim ◽  
Chang Gi Park ◽  
Jung Yeol Han ◽  
...  

The purposes of this study were to investigate the trajectory groups of depressive symptoms and anxiety in women during pregnancy and to identify the factors associated with those groups. Participants were recruited from the outpatient clinic of a women’s health hospital in Seoul, Korea. Pregnant women (n = 136) completed a survey questionnaire that included questions on depressive symptoms, anxiety, and pregnancy stress; additionally, their saliva was tested for cortisol hormone levels three times during their pregnancies. The group-based trajectory modeling approach was used to identify latent trajectory groups. Ordinal logistic regressions were used to explore the association of latent trajectory groups with sociodemographic factors and pregnancy stress. Three trajectory groups of depressive symptoms were identified: low-stable (70%), moderate-stable (25%), and increased (5%). Four trajectory groups of anxiety were identified: very low-stable (10%), low-stable (67%), moderate-stable (18%), and high-stable (5%). The only factor associated with both the depressive symptoms and anxiety trajectory groups was pregnancy stress (p < 0.001). Most participants showed stable emotional status; however, some participants experienced higher levels of depressive symptoms and anxiety related to higher pregnancy stress. These pregnant women may need additional care from healthcare providers to promote their wellbeing during pregnancy.


2007 ◽  
Vol 39 (3) ◽  
pp. 443-454 ◽  
Author(s):  
R. G. WHITE ◽  
C. HALL ◽  
B. WOLFF

Summary.A characteristic of African pre-transitional fertility regimes is large ideal family size. This has been used to support claims of cultural entrenchment of high fertility. Yet in Kenya fertility rates have fallen. In this paper this fall is explored in relation to trends in fertility norms and attitudes using four sequential cross-sectional surveys spanning the fertility transition in Kenya (1978, 1984, 1989 and 1998). The most rapid fall in the reported ideal family size occurred between 1984 and 1989, whilst the most rapid fall in the total fertility rate occurred 5 to 10 years later, between 1989 and 1998. Thus these data, spanning the fertility transition in Kenya, support the traditional demographic model that demand for fertility limitation drives fertility decline. These data also suggest that the decline in fertility norms over time was partly a period effect, as the reported ideal family size was seen to fall simultaneously in all age cohorts, and partly a cohort effect, as older age cohorts reporting higher ideal family sizes were replaced by younger cohorts reporting lower ideal family sizes. These data also suggest that a new fertility norm of four children may have developed by 1989 and continued until 1998. This is consistent with, and perhaps could have been used to predict, the stall in the Kenyan fertility decline after 1998.


2016 ◽  
Vol 29 (2) ◽  
pp. 281-292 ◽  
Author(s):  
Ching-Ju Chiu ◽  
Yu-Ching Hsu ◽  
Shuo-Ping Tseng

ABSTRACTBackground:This study was aimed toward discerning depressive symptom trajectories associated with different chronic conditions and toward finding modifiable factors associated with those trajectories.Methods:Data were drawn from the 1996–2007 Taiwan Longitudinal Study on Aging. Nine chronic conditions were selected, and mood trajectories were measured with the Center of Epidemiological Studies-Depression scale.Results:Among the nine chronic conditions we examined, four patterns of depressive symptom trajectories were identified: (1) elevated depressive symptoms and worsened over time after diagnosed with heart disease (n= 681), arthritis (n= 850), or hypertension (n= 1,207); (2) elevated depressive symptoms without worsening over time after diagnosed with stroke (n= 160), lung diseases (n= 432), gastric conditions (n= 691), or liver diseases (n= 234); (3) no elevated depressive symptoms after diagnosis but an increase in depressive symptoms over time for participants with diabetes (n= 499); and (4) no significant patterns after diagnosed with cancer (n= 57). Cumulative psychological burden over time was significant for participants with hypertension, diabetes, heart diseases, or arthritis. However, these effects disappeared after controlling for comorbidities and physical limitations. Moreover, psychiatric condition was found to play an important role in baseline depressive symptoms among participants diagnosed with lung diseases, arthritis, or liver diseases.Conclusions:Findings from this study provide information in addressing psychological burden at different times for different conditions. In addition, minimizing the incidence of comorbidities, physical limitations, or psychiatric conditions may have the prospective effect of avoiding the trend of increased depressive symptoms, especially when adults diagnosed with hypertension, diabetes, heart diseases, arthritis, lung diseases, arthritis, or liver diseases.


2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Maureen Wilson-Genderson ◽  
Allison R Heid ◽  
Rachel Pruchno

Abstract Background While the association between depressive symptoms and chronic illness has been the subject of many studies, little is known about whether depressive symptoms differ as a function of the illnesses people have as they transition to living with multiple chronic conditions. Methods Self-reports of five diagnosed chronic conditions (arthritis, diabetes, heart disease, hypertension, and pulmonary disease) and depressive symptoms were provided by 3,396 people participating in three waves of the ORANJ BOWLSM research panel. Longitudinal multilevel modeling was used to examine the effects that transitioning to having a diagnosis of multiple chronic conditions has on depressive symptoms. Results Between 2006 and 2014, controlling for age, gender, income, race, and a lifetime diagnosis of depression, people who transitioned to having a diagnosis of multiple chronic conditions had significantly higher levels of depressive symptoms than people who did not make this transition. The diagnosis of arthritis, diabetes, heart disease, and pulmonary disease, but not hypertension had independent effects, increasing depressive symptoms. Conclusions Having a diagnosis of multiple chronic conditions leads to increases in depressive symptoms, but not all illnesses have the same effect. Findings highlight the need for clinicians to be aware of mental health risks in patients diagnosed with multiple chronic conditions, particularly those with a diagnosis of arthritis, diabetes, heart disease, and pulmonary disease. Clinical care providers should take account of these findings, encouraging psychosocial supports for older adults who develop multiple chronic conditions to minimize the negative psychological impact of illness diagnosis.


2017 ◽  
Vol 30 (6) ◽  
pp. 843-862 ◽  
Author(s):  
Rosalba Hernandez ◽  
Elaine Cheung ◽  
Minli Liao ◽  
Seth W. Boughton ◽  
Lisett G. Tito ◽  
...  

Objective: We examined the association between depressive symptoms and cognitive functioning in older Hispanics/Latinos enrolled in an exercise intervention. Method: We analyzed baseline, 1-year, and 2-year in-person interview data collected from Hispanics/Latinos aged ≥60 years participating in an exercise intervention across 27 senior centers ( N = 572). Results: Mean age was 73.13 years; 77% female. At baseline, older adults screening positive for depression were 1.58 times more likely to experience cognitive impairment ( p = .04); controlling for demographics and comorbid chronic conditions. Compared to peers with little to no depressive symptoms, lower cognitive functioning scores were evident at each follow-up assessment point where elevated depressive symptoms were present, but baseline depression was not associated with cognitive function in longitudinal analyses. Discussion: In older Hispanics/Latinos enrolled in an exercise intervention, though baseline depression did not predict cognitive function over time, elevated symptoms of depression were associated with greater cognitive impairment at every point in this study.


2018 ◽  
Vol 9 (12) ◽  
pp. 699-709 ◽  
Author(s):  
Chirn-Bin Chang ◽  
Hsiu-Yun Lai ◽  
Shinn-Jang Hwang ◽  
Shu-Yu Yang ◽  
Ru-Shu Wu ◽  
...  

Background: PIM-Taiwan criteria were first established in 2010 for potentially inappropriate medications (PIMs). Currently, updating of PIM criteria is mandatory because of newly established evidence and newly developed medications. This study aims to evaluate the prevalence of PIM based on country-specific PIM criteria and factors associated with PIM use by applying 2010 version and newly updating PIM-Taiwan criteria in a cohort with polypharmacy. Methods: The baseline data of Medication Safety Review Clinic Taiwan (MSRC–Taiwan) study were used to investigate the prevalence of PIMs. Older patients (aged ⩾65 years) who were either having polypharmacy or visited ⩾3 different physicians were enrolled between August and October 2007. Bivariate analysis and multivariate logistic regressions were used to evaluate the factors associated with PIM use. Results: The prevalence of having at least one PIM was 46.1% for 2010 version and increased to 74.6% for 2018 version. The average number of PIMs generally to be avoided per patient also increased for 2018 version (0.2 versus 1.2, p < 0.0001). In contrast, the average number of PIMs considering chronic conditions per patient decreased (0.6 versus 0.3, p < 0.001). The associated chronic conditions of PIM users were distinct between 2010 and 2018 version. The major leading PIMs were benzodiazepines (BZDs) in both versions of criteria. Conclusions: As there were significant differences in medication lists between PIM-Taiwan version 2010 and 2018, the prevalence of PIM and factors associated with PIM users varied accordingly. Physicians should pay special attention before prescribing BZDs which keep being the major leading PIM.


BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e052495
Author(s):  
Rebecca M Lovett ◽  
Lauren Opsasnick ◽  
Andrea Russell ◽  
Esther Yoon ◽  
Sophia Weiner-Light ◽  
...  

ObjectivesTo examine the prevalence of mental health symptoms during the first surge of COVID-19 in the USA, and their associations with COVID-19-related emotional distress, health self-management and healthcare utilisation.DesignCross-sectional analysis of wave 3 (1–22 May 2020) survey data from the ongoing Chicago COVID-19 Comorbidities (C3) study.SettingSeven academic and community health centres in Chicago, Illinois.Participants565 adults aged 23–88 with one or more chronic conditions completing at least one prior C3 study wave.Primary and secondary outcome measuresClinically relevant anxiety and depressive symptoms as measured using Patient-Reported Outcomes Measurement Information System short forms. Self-reported emotional and health-related responses to COVID-19 were measured through a combination of single-item questions and validated measures.ResultsRates of anxiety and depressive symptoms were 14% (81/563) and 15% (84/563), respectively. Anxiety and depressive symptoms were then each separately associated with greater worry about contracting COVID-19 (relative risk (RR) 2.32, 95% CI 1.52 to 3.53; RR 1.67, 95% CI 1.10 to 2.54), greater stress (RR 4.93, 95% CI 3.20 to 7.59; RR 3.01, 95% CI 1.96 to 4.61) and loneliness (RR 3.82, 95% CI 2.21 to 6.60; RR 5.37, 95% CI 3.21 to 8.98), greater avoidance of the doctor (RR 1.62, 95% CI 1.06 to 2.49; RR 1.54, 95% CI 1.00 to 2.36) and difficulty managing health (least square means (LS Means) 6.09, 95% CI 5.25 to 6.92 vs 4.23, 95% CI 3.70 to 4.75; LS Means 5.85, 95% CI 5.04 to 6.65 vs 4.22, 95% CI 3.70 to 4.75) and medications (LS Means 3.71, 95% CI 2.98 to 4.43 vs 2.47, 95% CI 2.02 to 2.92) due to the pandemic.ConclusionsIdentifying and addressing mental health concerns may be an important factor to consider in COVID-19 prevention and management among high-risk medical populations.


2020 ◽  
Vol 25 (4) ◽  
pp. 847-859
Author(s):  
Fatima Valencia-Agudo ◽  
Tami Kramer ◽  
Venetia Clarke ◽  
Andrea Goddard ◽  
Sophie Khadr

Background: Sexual assault of adolescents is associated with negative mental health outcomes, including self-harm. Little is known about correlates and predictors of self-harm after sexual assault. We hypothesized that pre-assault vulnerabilities and post-assault psychological distress would be associated with self-harm after experiencing a recent sexual assault. Methods: The sample was recruited from adolescents aged 13 to 17 years accessing sexual assault centers and it included 98 females. Longitudinal data were collected at T0 (3.9 weeks on average post-assault) and T1 (21.8 weeks on average post-assault). Bivariate analysis and hierarchical binary logistic regressions were performed. Results: The rate of self-harm was 38.1% before the assault and 37.8% after the assault ( T1). History of family dysfunction ( OR 3.60 (1.30, 10.01)), depressive symptoms at T0 ( OR 5.83 (2.35, 14.43)) or T1 ( OR 2.79 (1.20, 6.50), and posttraumatic stress symptoms at T1 ( OR 3.21 (1.36, 7.58)) predicted self-harm at T1. These effects were attenuated when adjusting for confounders, except for depressive symptoms at T0 ( OR 4.21 (1.57, 11.28)). Discussion: Clinical implications for the prevention of onset or continuation of self-harm following adolescent sexual assault are discussed. Future studies should replicate these findings in a larger sample and consider different trajectories of self-harm.


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